Communication system with repeat-response processing mechanism and method of operation thereof

ABSTRACT

A communication system includes: a signal identification module configured to receive a repeat response for receiving the repeat response associated with a receiver signal; a signal analysis module, coupled to the signal identification module, configured to determine a serving data, a serving channel estimate, an interference channel estimate, or a combination thereof an interference data from the repeat response with an interference-aware processing mechanism; a combining module, coupled to the signal analysis module, configured to combine the repeat response and the receiver signal based on the serving data, the serving channel estimate, the interference channel estimate, the interference data, or a combination thereof; and a decoding module, coupled to the combining module, configured to generate a replication data based on combining the repeat response and the receiver signal based on the serving data, the serving channel estimate, the interference channel estimate, the interference data, or a combination thereof for communicating with a device.

CROSS-REFERENCE TO RELATED APPLICATION(S)

This application claims the benefit of U.S. Provisional PatentApplication Ser. No. 61/694,067 filed Aug. 28, 2012, and the subjectmatter thereof is incorporated herein by reference thereto.

TECHNICAL FIELD

An embodiment of the present invention relates generally to acommunication system, and more particularly to a system withrepeat-response processing mechanism.

BACKGROUND

Modern consumer and industrial electronics, especially devices such ascellular phones, navigations systems, portable digital assistants, andcombination devices, are providing increasing levels of functionality tosupport modern life including mobile communication. Research anddevelopment in the existing technologies can take a myriad of differentdirections.

The increasing demand for information in modern life requires users toaccess information at any time, at increasing data rates. However,telecommunication signals used in mobile communication effectivelyexperience various types of interferences from numerous sources, as wellas computational complexities rising from numerous possible formats forcommunicated information, which affect the quality and speed of theaccessible data.

Thus, a need still remains for a communication system withrepeat-response processing mechanism. In view of the ever-increasingcommercial competitive pressures, along with growing consumerexpectations and the diminishing opportunities for meaningful productdifferentiation in the marketplace, it is increasingly critical thatanswers be found to these problems. Additionally, the need to reducecosts, improve efficiencies and performance, and meet competitivepressures adds an even greater urgency to the critical necessity forfinding answers to these problems.

Solutions to these problems have been long sought but prior developmentshave not taught or suggested any solutions and, thus, solutions to theseproblems have long eluded those skilled in the art.

SUMMARY

An embodiment of the present invention provides a communication system,including: a signal identification module configured to receive a repeatresponse for receiving the repeat response associated with a receiversignal; a signal analysis module, coupled to the signal identificationmodule, configured to determine a serving data, a serving channelestimate, an interference channel estimate, or a combination thereof aninterference data from the repeat response with an interference-awareprocessing mechanism; a combining module, coupled to the signal analysismodule, configured to combine the repeat response and the receiversignal based on the serving data, the serving channel estimate, theinterference channel estimate, the interference data, or a combinationthereof; and a decoding module, coupled to the combining module,configured to generate a replication data based on combining the repeatresponse and the receiver signal based on the serving data, the servingchannel estimate, the interference channel estimate, the interferencedata, or a combination thereof for communicating with a device.

An embodiment of the present invention provides a method of operation ofa communication system including: receiving a repeat response forreceiving the repeat response associated with a receiver signal;determining a serving data, a serving channel estimate, an interferencechannel estimate, or a combination thereof an interference data from therepeat response with an interference-aware processing mechanism;combining the repeat response and the receiver signal based on theserving data, the serving channel estimate, the interference channelestimate, the interference data, or a combination thereof; andgenerating a replication data based on combining the repeat response andthe receiver signal based on the serving data, the serving channelestimate, the interference channel estimate, the interference data, or acombination thereof for communicating with a device.

Certain embodiments of the invention have other steps or elements inaddition to or in place of those mentioned above. The steps or elementswill become apparent to those skilled in the art from a reading of thefollowing detailed description when taken with reference to theaccompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a communication system with repeat-response processing basedadjustment mechanism in an embodiment of the present invention.

FIG. 2 is an exemplary block diagram of the communication system.

FIG. 3 is a control flow of the communication system.

FIG. 4 is a further control flow of the communication system.

FIG. 5 is a further control flow of the communication system.

FIG. 6 is a flow chart of a method of operation of a communicationsystem in an embodiment of the present invention.

DETAILED DESCRIPTION

The following embodiments of the present invention can be used tocombine a repeat response and a receiver signal, with the repeatresponse corresponding to a repeat request based on processing thereceiver signal. The repeat response and the receiver signal can becombined while utilizing information regarding an interference portionincluded therein according to an interference-aware processingmechanism.

The repeat response and the receiver signal can be combined at asymbol-level information, a bit-level information, or a combinationthereof. The combination process can utilize an initial extrinsic value,a subsequent extrinsic value, an initial-interference-channel, aninitial-interference-data, a subsequent-interference-channel, asubsequent-interference-data, an initial-interference soft-estimate, aninitial-cancellation-product, an initial-whitening-product, asubsequent-interference soft-estimate, asubsequent-cancellation-product, a subsequent-whitening-product, or acombination thereof derived from the repeat response and the receiversignal.

A concatenation signal set including the serving data, the servingchannel estimate, the interference data, and the interference channelestimate, the initial-whitening-product, and thesubsequent-whitening-product increase efficiency by allowing for signalsto be combined at the symbol-level information. Further, theconcatenation signal set including the serving data, the serving channelestimate, the interference data, and the interference channel estimate,the initial-whitening-product, and the subsequent-whitening-product forall relevant transmissions processed with the interference-awareprocessing mechanism provides accurate and speedy reproduction of thereplication data.

The following embodiments are described in sufficient detail to enablethose skilled in the art to make and use the invention. It is to beunderstood that other embodiments would be evident based on the presentdisclosure, and that system, process, or mechanical changes may be madewithout departing from the scope of an embodiment of the presentinvention.

In the following description, numerous specific details are given toprovide a thorough understanding of the invention. However, it will beapparent that the invention may be practiced without these specificdetails. In order to avoid obscuring an embodiment of the presentinvention, some well-known circuits, system configurations, and processsteps are not disclosed in detail.

The drawings showing embodiments of the system are semi-diagrammatic,and not to scale and, particularly, some of the dimensions are for theclarity of presentation and are shown exaggerated in the drawingfigures. Similarly, although the views in the drawings for ease ofdescription generally show similar orientations, this depiction in thefigures is arbitrary for the most part. Generally, the invention can beoperated in any orientation. The embodiments have been numbered firstembodiment, second embodiment, etc. as a matter of descriptiveconvenience and are not intended to have any other significance orprovide limitations for an embodiment of the present invention.

The term “module” referred to herein can include software, hardware, ora combination thereof in an embodiment of the present invention inaccordance with the context in which the term is used. For example, thesoftware can be machine code, firmware, embedded code, and applicationsoftware. Also for example, the hardware can be circuitry, processor,computer, integrated circuit, integrated circuit cores, a pressuresensor, an inertial sensor, a microelectromechanical system (MEMS),passive devices, or a combination thereof.

The term “processing” as used herein includes filtering signals,decoding symbols, assembling data structures, transferring datastructures, manipulating data structures, and reading and writing datastructures. Data structures are defined to be information arranged assymbols, packets, blocks, files, input data, system generated data, suchas calculated or generated data, and program data.

Referring now to FIG. 1, therein is shown a communication system 100with rep eat-response processing based adjustment mechanism in anembodiment of the present invention. The communication system 100includes a mobile device 102, such as a cellular phone or a notebookcomputer, connected to a network 104. The network 104 is a system ofwired or wireless communication devices that are connected to each otherfor enabling communication between devices.

For example, the network 104 can include a combination of wires,transmitters, receivers, antennas, towers, stations, repeaters,telephone network, servers, or client devices for a wireless cellularnetwork. The network 104 can also include a combination of routers,cables, computers, servers, and client devices for various sized areanetworks.

The network 104 can include a base station 106 for directly linking andcommunicating with the mobile device 102. The base station 106 canreceive wireless signals from the mobile device 102, transmit signals tothe mobile device 102, process signals, or a combination thereof. Thebase station 106 can also relay signals between other base stations,components within the network 104, or a combination thereof.

The mobile device 102 can be connected to the network 104 through thebase station 106. For example, the base station 106 can include or bewith a cell tower, a wireless router, an antenna, a processing device,or a combination thereof being used to send signals to or receivesignals from the mobile device 102, such as a smart phone or a laptopcomputer.

The mobile device 102 can connect to and communicate with other devices,such as other mobile devices, servers, computers, telephones, or acombination thereof. The mobile device 102 can communicate with otherdevices by transmitting signals, receiving signals, processing signals,or a combination thereof and displaying a content of the signals,audibly recreating sounds according to the content of the signals,processing according to the content, such as storing an application orupdating an operating system.

The base station 106 can be used to wirelessly exchange signals forcommunication, including voice signals of a telephone call or datarepresenting a webpage and interactions therewith. The base station 106can also transmit reference signals, training signals, error detectionsignals, error correction signals, header information, transmissionformat, protocol information, or a combination thereof.

Based on the communication method, such as code division multiple access(CDMA), orthogonal frequency-division multiple access (OFDMA), ThirdGeneration Partnership Project (3GPP), Long Term Evolution (LTE), orfourth generation (4G) standards, the communication signals can includea reference portion, a header portion, a format portion, an errorcorrection or detection portion, or a combination thereof imbedded inthe communicated information. The reference portion, header portion,format portion, error correction or detection portion, or a combinationthereof can include a predetermined bit, pulse, wave, symbol, or acombination thereof. The various portions can be embedded within thecommunicated signals at regular time intervals, frequency, code, or acombination thereof.

The base station 106 can transmit a transmitter signal 108 forcommunicating with the mobile station 102. The transmitter signal 108 isdata intended to communicate by reproduction or processing at areceiving device. The transmitter signal 108 can be bit-levelinformation 109 or a sequence of bits modified according tocommunication format. For example, the transmitter signal 108 can be asequence of informational bits, processing related bits, such as errorcorrection information or formatting information, or a combinationthereof transformed into corresponding symbol-level information 111according to a modulation scheme, such as quadrature amplitudemodulation (QAM) or phase-shift keying (PSK).

The transmitter signal 108 can arrive at the mobile station 102 aftertraversing a transmitter channel 110. The transmitter channel 110 can bewireless, wired, or a combination thereof. The transmitter channel 110can be a direct link between the mobile device 102 and the base station106 or can include repeaters, amplifiers, or a combination thereof. Forexample, the transmitter channel 110 can include communicationfrequency, time slot, packet designation, transmission rate, channelcode, or a combination thereof used for transmitting signals between themobile device 102 and the base station 106.

The mobile station 102 can receive signals from other unintendedsources. The mobile station 102 can receive an interference signal 114from an interference source 112. The interference signal 114 is dataunintended for communication at the receiving device. The interferencesource 112 can be any source generating signals unintended for aspecific receiver.

For example, the transmitter signal 108 intended for the mobile station102 can be the interference signal 114 to a different device and thebase station 106 can be seen as the interference source 112 to thedifferent device. Also for example, the interference signal 114 caninclude signals intended for communication with devices other than themobile station 102 or to the mobile station 102 for a currentlyunrelated purpose or for a function currently not accessed on the mobilestation 102.

As a more specific example, the interference source 112 can includevarious transmitters, including a base station or a satellite dish,another mobile communication device, such as a smart phone or a laptopcomputer, broadcasting station, such as for television or radio, or acombination thereof. Also for example, the interference signal 114 caninclude wireless signals carrying voice information associated with aphone call intended for phones other than the mobile station 102 orbroadcasted television signals when the mobile station 102 is notaccessing the television viewing feature.

The interference signal 114 can traverse an interference channel 116 toarrive at the mobile station 102. The interference channel 116 can besimilar to the transmitter channel 110 but for the differences incharacteristics due to location difference between the base station 106and the interference source 112, due to difference in method ofcommunication or resources used between the transmitter signal 108 andthe interference signal 114, or a combination thereof.

For example, the interference channel 116 can be wireless, wired, or acombination thereof. The interference channel 116 can be an unintendeddirect link between the mobile device 102 and the interference source112 or can include repeaters, amplifiers, or a combination thereof. Alsofor example, the interference channel 116 can include communicationfrequency, time slot, packet designation, transmission rate, channelcode, or a combination thereof used for transmitting signals between theinterference source and the different device, and further accessible bythe mobile device 102.

The mobile station 102 can receive a receiver signal 118. The receiversignal 118 is information received by a device in the communicationsystem 100. The receiver signal 118 can include the transmitter signal108 that has been altered from traversing the transmitter channel 110.The receiver signal 118 can further include the interference signal 114that has been altered from traversing the interference channel 116.

The receiver signal 118 can include a serving portion 120 and aninterference portion 122. The communication system 100 can determine theserving portion 120 and the interference portion 122 from the receiversignal 118.

The serving portion 120 is a portion of the receiver signal 118corresponding to the transmitter signal 108. The interference portion122 is a portion of the receiver signal 118 corresponding to theinterference signal 114. The communication system 100 can furtherdetermine serving data 124 and a serving channel estimate 126corresponding to the serving portion 120 and determine interference data128 and an interference channel estimate 130 corresponding to theinterference portion 122.

The serving data 124 is information originally intended forcommunication with the mobile station 102. The serving data 124 can beone or more symbol vectors or a sequence of bits corresponding to thetransmitter signal 108. The serving data 124 can be the intended contentwithin the transmitter signal 108 before or after processing forcommunication. The serving data 124 can be the symbol-level information111 or the bit-level information 109 intended for reproduction or use atthe mobile device 102.

The serving channel estimate 126 is a description of changes to signalscaused by the transmitter channel 110. The serving channel estimate 126can describe and quantize reflection, loss, delay, refraction,obstructions, or a combination thereof a signal can experience whiletraversing between the base station 106 and the mobile device 102. Theserving channel estimate 126 can be a matrix value characterizing thetransmitter channel 110.

The interference data 128 is information originally unintended forcommunication with the mobile station 102. The interference data 128 canbe one or more symbol vectors or a sequence of bits corresponding to theinterference signal 114. The interference data 128 can be the intendedcontent within the interference signal 114 before or after processingfor communication. The interference data 128 can be the symbol-levelinformation 111 or the bit-level information 109 intended forreproduction or use at a device other than the mobile device 102 or fora feature or application currently not used or accessed by the mobiledevice 102.

The interference channel estimate 130 is a description of changes tosignals caused by the interference channel 116. The interference channelestimate 130 can describe and quantize reflection, loss, delay,refraction, obstructions, or a combination thereof a signal canexperience while traversing between the interference source 112 and themobile device 102. The interference channel estimate 130 can be a matrixvalue characterizing the interference channel 116.

The communication between the base station 106 and the mobile device 102for the communication system 100 can be represented as:

y _(i) =H _(D,i) x _(D) +H _(I,i) x _(I,i) +n _(i).  Equation (1).

The receiver signal 118 can be represented by y. The serving channelestimate 126 can be represented by H_(D,i) and the serving data 124 canbe represented by x_(D). The interference channel estimate 130 can berepresented by H_(I,i), and the interference data 128 can be representedby x_(I,i). Noise detected by the communication system 100 can berepresented as n_(i).

The mobile station 102 can transmit a repeat request 132 based onprocessing the receiver signal 118. The base station 106 can transmit adifferent instance of the transmitter signal 108 based on the repeatrequest 132.

The mobile station 102 can receive a repeat response 134 correspondingto the different instance of transmitter signal 108 transmitted by thebase station 106. The repeat response 134 can be an instance of thereceiver signal 118 corresponding to a retransmission according to therepeat request 132.

The repeat response 134 can be the different instance of the transmittersignal 108 retransmitted by the base station 106 in response to therepeat request 132. The repeat response 134 can have content or intendeddata, such as for the serving data 124, identical to the first instanceof the transmitter signal 108 or a portion therein. The repeat response134 can have identical or different header portion, format portion,error processing scheme, modulation and coding scheme (MCS) incomparison to the receiver signal 118,

The serving data 124 or a portion therein can remain constant between aninitial instance of the receiver signal 118 and the repeat response 134when being transmitted from the base station 106. The serving channelestimate 126, the interference data 128, the interference channelestimate 130 can change between the first instance of the receiversignal 118 and the repeat response 134.

Since the repeat request 132 can be due to error in processing aninitial data 136, the initial data 136 and a repeat data 138 can bedifferent during processing. The initial data 136 is a result ofprocessing for the serving data 124 from the initial instance of thereceiver signal 118 and the repeat data 138 is a result of processingfor the serving data 124 from the repeat response 134. The initial data136 and the repeat data 138 can be processed at the bit-levelinformation 109 or at the symbol-level information 111.

The repeat request 132 and the repeat response 134 can follow a hybridautomatic-repeat-request (HARM) scheme. The repeat request 132 can be anegative-acknowledgement (NACK) corresponding to unsuccessful detectingor decoding of the receiver signal 118. The repeat response 134 can beaccording to chase combining scheme using the same MCS betweentransmitting for the receiver signal 118 and the repeat response 134.The repeat response 134 can be according to incremental redundancyscheme that uses different MCS between the two transmissions.

The communication system 100 can have an overlap region 140 and anon-overlapping region 142 between the transmitter signal 108 for theinitial transmission and the repeat response 134. The overlap region 140is information common or repeated between the transmitter signal 108 forthe initial transmission and the repeat response 134. Thenon-overlapping region 142 is information not repeated between thetransmitter signal 108 for the initial transmission and the repeatresponse 134.

For example, the overlap region 140 can include common or repeatedinformation between the receiver signal 118 and the repeat response 134.As a more specific example, the overlap region 140 can include all ofthe intended content in the receiver signal 118 and the repeat response134. As a further specific example, the overlap region 140 can include aportion of the intended content in receiver signal 118 and the repeatresponse 134. The non-overlapping region 142 can include a furtherportion exclusive of the overlap region 140 in the initial data 136, therepeat data 138, or a combination thereof.

For illustrative purposes the overlap region 140 and the non-overlappingregion 142 will be described as being based on overlapping instances ofsymbols between the initial transmission and the repeat response 134.However, it is understood that the overlap region 140 and thenon-overlapping region 142 can be based on overlapping other than thatof the symbol-level information 111. For example, the overlap region 140and the non-overlapping region can overlap based on the bit-levelinformation 109 or a combination of the bit-level information 109 andthe symbol-level information 111.

The communication system 100 can determine the serving data 124, theserving channel estimate 126, the interference data 128, theinterference channel estimate 130, or a combination thereof with respectto initially received instance of the receiver signal 118, the repeatresponse 134, or a combination thereof. The communication system 100 canfurther store, combine, or a combination of processes thereof for theinitial data 136 and the repeat data 138. Details regarding processingof the receiver signal 118 will be described below.

Referring now to FIG. 2, therein is shown an exemplary block diagram ofthe communication system 100. The communication system 100 can includethe first device 102, the communication path 104, and the second device106. The first device 102 can send information in a first devicetransmission 208 over the communication path 104 to the second device106. The second device 106 can send information in a second devicetransmission 210 over the communication path 104 to the first device102.

For illustrative purposes, the communication system 100 is shown withthe first device 102 as a client device, although it is understood thatthe communication system 100 can have the first device 102 as adifferent type of device. For example, the first device 102 can be aserver having a display interface.

Also for illustrative purposes, the communication system 100 is shownwith the second device 106 as a server, although it is understood thatthe communication system 100 can have the second device 106 as adifferent type of device. For example, the second device 106 can be aclient device.

For brevity of description in this embodiment of the present invention,the first device 102 will be described as a client device and the seconddevice 106 will be described as a server device. The embodiment of thepresent invention is not limited to this selection for the type ofdevices. The selection is an example of an embodiment of the presentinvention.

The first device 102 can include a first control unit 212, a firststorage unit 214, a first communication unit 216, and a first userinterface 218. The first control unit 212 can include a first controlinterface 222. The first control unit 212 can execute a first software226 to provide the intelligence of the communication system 100.

The first control unit 212 can be implemented in a number of differentmanners. For example, the first control unit 212 can be a processor, anapplication specific integrated circuit (ASIC) an embedded processor, amicroprocessor, a hardware control logic, a hardware finite statemachine (FSM), a digital signal processor (DSP), or a combinationthereof. The first control interface 222 can be used for communicationbetween the first control unit 212 and other functional units in thefirst device 102. The first control interface 222 can also be used forcommunication that is external to the first device 102.

The first control interface 222 can receive information from the otherfunctional units or from external sources, or can transmit informationto the other functional units or to external destinations. The externalsources and the external destinations refer to sources and destinationsexternal to the first device 102.

The first control interface 222 can be implemented in different ways andcan include different implementations depending on which functionalunits or external units are being interfaced with the first controlinterface 222. For example, the first control interface 222 can beimplemented with a pressure sensor, an inertial sensor, amicroelectromechanical system (MEMS), optical circuitry, waveguides,wireless circuitry, wireline circuitry, or a combination thereof.

The first storage unit 214 can store the first software 226. The firststorage unit 214 can also store the relevant information, such as datarepresenting incoming images, data representing previously presentedimage, sound files, or a combination thereof.

The first storage unit 214 can be a volatile memory, a nonvolatilememory, an internal memory, an external memory, or a combinationthereof. For example, the first storage unit 214 can be a nonvolatilestorage such as non-volatile random access memory (NVRAM), Flash memory,disk storage, or a volatile storage such as static random access memory(SRAM).

The first storage unit 214 can include a first storage interface 224.The first storage interface 224 can be used for communication betweenand other functional units in the first device 102. The first storageinterface 224 can also be used for communication that is external to thefirst device 102.

The first storage interface 224 can receive information from the otherfunctional units or from external sources, or can transmit informationto the other functional units or to external destinations. The externalsources and the external destinations refer to sources and destinationsexternal to the first device 102.

The first storage interface 224 can include different implementationsdepending on which functional units or external units are beinginterfaced with the first storage unit 214. The first storage interface224 can be implemented with technologies and techniques similar to theimplementation of the first control interface 222.

The first communication unit 216 can enable external communication toand from the first device 102. For example, the first communication unit216 can permit the first device 102 to communicate with the seconddevice 106 of FIG. 1, an attachment, such as a peripheral device or acomputer desktop, and the communication path 104.

The first communication unit 216 can also function as a communicationhub allowing the first device 102 to function as part of thecommunication path 104 and not limited to be an end point or terminalunit to the communication path 104. The first communication unit 216 caninclude active and passive components, such as microelectronics or anantenna, for interaction with the communication path 104.

The first communication unit 216 can include a first communicationinterface 228. The first communication interface 228 can be used forcommunication between the first communication unit 216 and otherfunctional units in the first device 102. The first communicationinterface 228 can receive information from the other functional units orcan transmit information to the other functional units.

The first communication interface 228 can include differentimplementations depending on which functional units are being interfacedwith the first communication unit 216. The first communication interface228 can be implemented with technologies and techniques similar to theimplementation of the first control interface 222.

The first user interface 218 allows a user (not shown) to interface andinteract with the first device 102. The first user interface 218 caninclude an input device and an output device. Examples of the inputdevice of the first user interface 218 can include a keypad, a touchpad,soft-keys, a keyboard, a microphone, an infrared sensor for receivingremote signals, or any combination thereof to provide data andcommunication inputs.

The first user interface 218 can include a first display interface 230.The first display interface 230 can include a display, a projector, avideo screen, a speaker, or any combination thereof.

The first control unit 212 can operate the first user interface 218 todisplay information generated by the communication system 100. The firstcontrol unit 212 can also execute the first software 226 for the otherfunctions of the communication system 100. The first control unit 212can further execute the first software 226 for interaction with thecommunication path 104 via the first communication unit 216.

The second device 106 can be optimized for implementing an embodiment ofthe present invention in a multiple device embodiment with the firstdevice 102. The second device 106 can provide the additional or higherperformance processing power compared to the first device 102. Thesecond device 106 can include a second control unit 234, a secondcommunication unit 236, and a second user interface 238.

The second user interface 238 allows a user (not shown) to interface andinteract with the second device 106. The second user interface 238 caninclude an input device and an output device. Examples of the inputdevice of the second user interface 238 can include a keypad, atouchpad, soft-keys, a keyboard, a microphone, or any combinationthereof to provide data and communication inputs. Examples of the outputdevice of the second user interface 238 can include a second displayinterface 240. The second display interface 240 can include a display, aprojector, a video screen, a speaker, or any combination thereof.

The second control unit 234 can execute a second software 242 to providethe intelligence of the second device 106 of the communication system100. The second software 242 can operate in conjunction with the firstsoftware 226. The second control unit 234 can provide additionalperformance compared to the first control unit 212.

The second control unit 234 can operate the second user interface 238 todisplay information. The second control unit 234 can also execute thesecond software 242 for the other functions of the communication system100, including operating the second communication unit 236 tocommunicate with the first device 102 over the communication path 104.

The second control unit 234 can be implemented in a number of differentmanners. For example, the second control unit 234 can be a processor, anembedded processor, a microprocessor, hardware control logic, a hardwarefinite state machine (FSM), a digital signal processor (DSP), or acombination thereof.

The second control unit 234 can include a second control interface 244.The second control interface 244 can be used for communication betweenthe second control unit 234 and other functional units in the seconddevice 106. The second control interface 244 can also be used forcommunication that is external to the second device 106.

The second control interface 244 can receive information from the otherfunctional units or from external sources, or can transmit informationto the other functional units or to external destinations. The externalsources and the external destinations refer to sources and destinationsexternal to the second device 106.

The second control interface 244 can be implemented in different waysand can include different implementations depending on which functionalunits or external units are being interfaced with the second controlinterface 244. For example, the second control interface 244 can beimplemented with a pressure sensor, an inertial sensor, amicroelectromechanical system (MEMS), optical circuitry, waveguides,wireless circuitry, wireline circuitry, or a combination thereof.

A second storage unit 246 can store the second software 242. The secondstorage unit 246 can also store the such as data representing incomingimages, data representing previously presented image, sound files, or acombination thereof. The second storage unit 246 can be sized to providethe additional storage capacity to supplement the first storage unit214.

For illustrative purposes, the second storage unit 246 is shown as asingle element, although it is understood that the second storage unit246 can be a distribution of storage elements. Also for illustrativepurposes, the communication system 100 is shown with the second storageunit 246 as a single hierarchy storage system, although it is understoodthat the communication system 100 can have the second storage unit 246in a different configuration. For example, the second storage unit 246can be formed with different storage technologies forming a memoryhierarchal system including different levels of caching, main memory,rotating media, or off-line storage.

The second storage unit 246 can be a volatile memory, a nonvolatilememory, an internal memory, an external memory, or a combinationthereof. For example, the second storage unit 246 can be a nonvolatilestorage such as non-volatile random access memory (NVRAM), Flash memory,disk storage, or a volatile storage such as static random access memory(SRAM).

The second storage unit 246 can include a second storage interface 248.The second storage interface 248 can be used for communication betweenother functional units in the second device 106. The second storageinterface 248 can also be used for communication that is external to thesecond device 106.

The second storage interface 248 can receive information from the otherfunctional units or from external sources, or can transmit informationto the other functional units or to external destinations. The externalsources and the external destinations refer to sources and destinationsexternal to the second device 106.

The second storage interface 248 can include different implementationsdepending on which functional units or external units are beinginterfaced with the second storage unit 246. The second storageinterface 248 can be implemented with technologies and techniquessimilar to the implementation of the second control interface 244.

The second communication unit 236 can enable external communication toand from the second device 106. For example, the second communicationunit 236 can permit the second device 106 to communicate with the firstdevice 102 over the communication path 104.

The second communication unit 236 can also function as a communicationhub allowing the second device 106 to function as part of thecommunication path 104 and not limited to be an end point or terminalunit to the communication path 104. The second communication unit 236can include active and passive components, such as microelectronics oran antenna, for interaction with the communication path 104.

The second communication unit 236 can include a second communicationinterface 250. The second communication interface 250 can be used forcommunication between the second communication unit 236 and otherfunctional units in the second device 106. The second communicationinterface 250 can receive information from the other functional units orcan transmit information to the other functional units.

The second communication interface 250 can include differentimplementations depending on which functional units are being interfacedwith the second communication unit 236. The second communicationinterface 250 can be implemented with technologies and techniquessimilar to the implementation of the second control interface 244.

The first communication unit 216 can couple with the communication path104 to send information to the second device 106 in the first devicetransmission 208. The second device 106 can receive information in thesecond communication unit 236 from the first device transmission 208 ofthe communication path 104.

The second communication unit 236 can couple with the communication path104 to send information to the first device 102 in the second devicetransmission 210. The first device 102 can receive information in thefirst communication unit 216 from the second device transmission 210 ofthe communication path 104. The communication system 100 can be executedby the first control unit 212, the second control unit 234, or acombination thereof. For illustrative purposes, the second device 106 isshown with the partition having the second user interface 238, thesecond storage unit 246, the second control unit 234, and the secondcommunication unit 236, although it is understood that the second device106 can have a different partition. For example, the second software 242can be partitioned differently such that some or all of its function canbe in the second control unit 234 and the second communication unit 236.Also, the second device 106 can include other functional units not shownin FIG. 2 for clarity.

The functional units in the first device 102 can work individually andindependently of the other functional units. The first device 102 canwork individually and independently from the second device 106 and thecommunication path 104.

The functional units in the second device 106 can work individually andindependently of the other functional units. The second device 106 canwork individually and independently from the first device 102 and thecommunication path 104.

For illustrative purposes, the communication system 100 is described byoperation of the first device 102 and the second device 106. It isunderstood that the first device 102 and the second device 106 canoperate any of the modules and functions of the communication system100.

Referring now to FIG. 3, therein is shown a control flow of thecommunication system 100. The communication system 100 can include adetector module 302, a combining module 304, and a decoding module 306.

The detector module 302 can be coupled to the combining module 304. Forexample, one or more outputs of the detector module 302 can be connectedto one or more inputs of the combining module 304, one or more inputs ofthe detector module 302 can be connected to one or more outputs of thecombining module 304, or a combination thereof. Similarly, the combiningmodule 304 can be coupled to the decoding module 306.

The detector module 302 is configured to detect, demodulate, or acombination thereof for signals received by the mobile device 102 ofFIG. 1. The detector module 302 can detect an initial instance of thereceiver signal 118 of FIG. 1 and the repeat response 134 of FIG. 1corresponding to the receiver signal 118.

The detector module 302 can detect signals and variations in frequency,magnitude, phase, signal shape, timing, or a combination thereof. Thedetector module 302 can demodulate by extracting original information,such as the symbol-level information 111 of FIG. 1 from a carrierfrequency, a time slot, a multiplex identification code, or acombination thereof.

The detector module 302 can further process the receiver signal 118, therepeat response 134, or a combination thereof for informationcorresponding to the serving portion 120 of FIG. 1, the interferenceportion 122 of FIG. 1, or a combination thereof. The detector module 302can include a signal identification module 310 and a signal analysismodule 312 for processing the receiver signal 118, the repeat response134, or a combination thereof.

The signal identification module 310 is configured to identify andreceive the receiver signal 118, the repeat response 134, or acombination thereof. The receiver signal 118 can precede the repeatresponse 134. The communication system 100 can process the repeatrequest 132 of FIG. 1, including communicating the repeat request 132,when the communication system 100 detects an error in processing thereceiver signal 118 or a portion therein. The signal identificationmodule 310 can further identify and receive the repeat response 134corresponding to the repeat request 132 associated with the receiversignal 118.

The signal identification module 310 can identify the receiver signal118, the repeat response 134, or a combination thereof by tracking therepeat request 132. The signal identification module 310 can furtheridentify the receiver signal 118, the repeat response 134, or acombination thereof by processing a portion of signals, such as areference portion, a header portion, a format portion, or a combinationthereof, arriving after the repeat request 132.

For example, the signal identification module 310 can identify aninstance of received signal associated with detection of error duringprocessing as the receiver signal 118. Also for example, the signalidentification module 310 can identify an instance of received signaloccurring after the repeat request 132 and having an indication notingthe repeat request 132, the receiver signal 118, or a combinationthereof therein as the repeat response 134.

The signal identification module 310 can receive by allowing thereceiver signal 118, the repeat response 134, or a combination thereoffor further processing. For example, the signal identification module310 can store the receiver signal 118, the repeat response 134, or acombination thereof in the first storage unit 214 of FIG. 2, the secondstorage unit 246 of FIG. 2, or a combination thereof at a locationaccessible to other modules for further processing. Also for example,the signal identification module 310 can use the first communicationunit 216 of FIG. 2, the second communication unit 236 of FIG. 2, thefirst control unit 212 of FIG. 2, the second control unit 234 of FIG. 2,or a combination thereof to pass the receiver signal 118, the repeatresponse 134, or a combination thereof to other modules for furtherprocessing.

The signal analysis module 312 is configured to identify variouscomponents within the receiver signal 118, the repeat response 134, or acombination thereof. The signal analysis module 312 can be configured todetermine the serving portion 120 including the serving data 124 of FIG.1 or the serving channel estimate 126 of FIG. 1, determine theinterference portion 122 including the interference data 128 of FIG. 1or the interference channel estimate 130 of FIG. 1, or a combinationthereof from the receiver signal 118, the repeat response 134, or acombination thereof.

The signal analysis module 312 can determine the serving portion 120,the interference portion 122, a portion therein, or a combinationthereof using a serving analysis module 314 and an interference analysismodule 316. The serving analysis module 314 is configured to determineinformation regarding the serving portion 120, the transmitter channel110 of FIG. 1, or a combination thereof.

The serving analysis module 314 can determine information regarding thetransmitter channel 110 by estimating the serving channel estimate 126.The serving analysis module 314 can estimate the serving channelestimate 126 using a variety of methods.

For example, the serving analysis module 314 can use referencecommunications, such as pilot tone or reference signal, transmitted bythe base station 106 of FIG. 1 to determine the serving channel estimate126. The details regarding transmitted reference communications, such asoriginal frequency, phase, content, or a combination thereof, can bepredetermined by the communication standard, the communication system100, or a combination thereof.

Continuing with the example, the serving analysis module 314 can comparethe received instances of the reference communications to the parameterspredetermined by the communication standard, the communication system100, or a combination thereof for the reference communications. Theserving analysis module 314 can calculate the changes in magnitude,frequency, phase, or a combination thereof in the referencecommunication of the received instances of the reference communications,such as contained in the receiver signal 118 or the repeat response 134.

Continuing with the example, the serving analysis module 314 can furtheruse frequency or time domain transformation, convolution, transposition,basic mathematical operations, or a combination thereof with thepredetermined or received instances of the reference communication, orboth. The serving analysis module 314 can also use methods such as theleast square method, the least mean square (LMS) method, or the minimummean square error (MMSE) method to determine the serving channelestimate 126.

The serving analysis module 314 can further determine informationregarding the serving portion 120 by calculating a detectorserving-a-priori value 318, a detector serving-a-posteriori value 320,and a detector serving-extrinsic value 322. The detectorserving-a-priori value 318 is a prior knowledge for the detector module302 or a portion therein, such as the serving analysis module 314, aboutthe transmitter signal 108 of FIG. 1, the receiver signal 118, therepeat response 134, or a combination thereof.

The detector serving-a-priori value 318 can be a measure of confidencelevel associated with a specific portion of the transmitter signal 108,the receiver signal 118, the repeat response 134, or a combinationthereof corresponding to a specific value of a symbol, a bit, or acombination thereof. The detector serving-a-priori value 318 can be aratio of likelihoods, a logarithmic derivation thereof, such as alog-likelihood ratio (LLR), or a combination thereof for a specificportion of the transmitter signal 108, the receiver signal 118, therepeat response 134, or a combination thereof corresponding to aspecific value of information.

For example, the detector serving-a-priori value 318 can represent oneor a set of likelihoods of the specific portion the transmitter signal108, the receiver signal 118, the repeat response 134, or a combinationthereof corresponding to a specific instance of a symbol, correspondingto all possible symbols, corresponding to a ‘1’ or ‘0’ bit, or acombination thereof. Also for example, the detector serving-a-priorivalue 318 can represent a likelihood that the specific portioncorresponds to a group of bits in a specific sequence of ‘1’ and ‘0’.

The detector serving-a-priori value 318, as a log-likelihood ratio, canbe expressed as:

$\begin{matrix}{L_{m,n}^{({a,1,k})} = {{\log \; \frac{P\left( {b_{m,n}^{k} = {+ 1}} \right)}{P\left( {b_{m,n}^{k} = {- 1}} \right)}}..}} & {{Equation}\mspace{14mu} (2)}\end{matrix}$

The detector serving-a-priori value 318 can represent a log of a ratioof likelihoods for an m^(th) bit in the n^(th) stream at the k^(th)signal. The detector serving-a-priori value 318 can be a ratio oflikelihoods that the bit is 1 or a 0, represented as +1 or −1. Thesuperscript ‘k’ can be ‘I’ for interference signals or ‘D’ for intendedsignals. For the detector serving-a-priori value 318, the superscript‘k’ can be represented with ‘D’.

The serving analysis module 314 can receive the detectorserving-a-priori value 318 from a source external to the servinganalysis module 314, such as the interference analysis module 316, thecombining module 304, the decoding module, or a combination thereof. Theserving analysis module 314 can also receive the detectorserving-a-priori value 318 from a result calculated on a previousiteration by the serving analysis module 314, the interference analysismodule 316, the combining module 304, the decoding module 306, or acombination thereof.

The serving analysis module 314 can also initialize the detectorserving-a-priori value 318 to a value predetermined by the communicationsystem 100, a value resulting from demodulating or detecting thereceiver signal 118, the repeat response 134, or a combination thereof,a value resulting from estimating the serving channel estimate 126, or acombination thereof. The serving analysis module 314 can initialize orreset the detector serving-a-priori value 318 when the communicationsystem 100 is initialized, reset, performs a handover process, or acombination thereof.

The serving analysis module 314 can calculate the detectorserving-a-posteriori value 320. The detector serving-a-posteriori value320 is a later knowledge for the detector module 302 or a componenttherein, such as the serving analysis module 314, about the transmittersignal 108, the receiver signal 118, the repeat response 134, or acombination thereof.

The detector serving-a-posteriori value 320 can be a measure ofconfidence level associated with a specific portion of the transmittersignal 108, the receiver signal 118, the repeat response 134, or acombination thereof corresponding to a specific value of a symbol, abit, or a combination thereof. The detector serving-a-posteriori value320 can be a ratio of likelihoods, a logarithmic derivation thereof,such as a log-likelihood ratio (LLR), or a combination thereof for alikelihood that a specific portion of the transmitter signal 108, thereceiver signal 118, the repeat response 134, or a combination thereofcorresponding to a specific value of information.

For example, the detector serving-a-posteriori value 320 can representone or a set of likelihoods of the specific portion the transmittersignal 108, the receiver signal 118, the repeat response 134, or acombination thereof corresponding to a specific instance of a symbol,corresponding to each and all possible symbols, corresponding to a ‘1’or ‘0’ bit, or a combination thereof. Also for example, the detectorserving-a-posteriori value 320 can represent a likelihood that thespecific portion corresponds to a group of bits in a specific sequenceof ‘1’ and ‘0’.

The detector serving-a-posteriori value 320, as a log-likelihood ratio,can be expressed as:

$\begin{matrix}{L_{m,n}^{({A,1,D})} = {{\log \; \frac{P\left( {b_{m,n}^{D} = \left. {+ 1} \middle| y \right.} \right)}{P\left( {b_{m,n}^{D} = \left. {- 1} \middle| y \right.} \right)}} = {{\log \; \frac{\Sigma_{b^{I}}\Sigma_{b^{D} \in B_{m,n}^{+ 1}}{P\left( y \middle| {b^{D}b^{I}} \right)}{P\left( {b^{D},b^{I}} \right)}}{\Sigma_{b^{I}}\Sigma_{b^{D} \in B_{m,n}^{- 1}}{P\left( y \middle| {b^{D}b^{I}} \right)}{P\left( {b^{D},b^{I}} \right)}}}..}}} & {{Equation}\mspace{14mu} (3)}\end{matrix}$

The receiver signal 118 can be represented by y. The notation ‘D’ canspecify correspondence or association to the serving data 124, thetransmitter signal 108, or a combination thereof intended forcommunication. The notation ‘I’ can specify correspondence orassociation to the interference data 128, the interference signal 114 ofFIG. 1, or a combination thereof unintended for communication andserving as an interference to the intended communication. The terms‘b^(D)’ and ‘b^(I)’ can represent bit vectors consisting of all bitscorresponding to the symbol element of ‘x_(D),’ and ‘x_(I)’.

The detector serving-a-posteriori value 320 can be approximated as:

L _(m,n) ^((A,1,D))≈max_(x) _(D) _(εχ) _(m,n) ₊₁ _(x) _(I) (

x+

^((a,1)))−max_(x) _(D) _(εχ) _(m,n) ⁻¹ _(x) _(I) (

x+

^((a,1)))  Equation (4)

The term ‘

x’ can represent a Euclidean distance expressed as:

x=−∥y−H _(D) X _(D) −H _(I) x _(I)∥².  Equation (5).

The term ‘

’ can represent a sum of bit vectors expressed as:

$\begin{matrix}{\mathcal{L}^{({a,1})} = {{{\frac{1}{2}b^{I +}L^{({a,1,I})}} + {\frac{1}{2}b^{D +}L^{({a,1,D})}}}..}} & {{Equation}\mspace{14mu} (6)}\end{matrix}$

Further, the term ‘

_(m,n) ^(b)’ can represent:

_(m,n) ^(b) ={b ^(D) |b _(m,n) =b}.  Equation (7).

The term ‘χhd m,n^(b)’ can represent:

χ_(m,n) ^(b) ={x ^(D) |b _(m,n) =b}  Equation (8).

The serving analysis module 314 can calculate the detectorserving-a-posteriori value 320 with the first communication unit 216,the second communication unit 236, the first control unit 212, thesecond control unit 234, or a combination thereof using one or moreequation from Equations (3)-(8). The serving analysis module 314 canfurther store the detector serving-a-posteriori value 320 in the firststorage unit 214, the second storage unit 246, or a combination thereof.

The serving analysis module 314 can further calculate the detectorserving-extrinsic value 322. The detector serving-extrinsic value 322 isnew information that is not derived from received information withrespect to the detector module 302 or a portion therein, such as theserving analysis module 314.

The detector serving-extrinsic value 322 can be a calculated orestimated value. The detector serving-extrinsic value 322 can representan error, an improvement, or a difference between instances ofprocessing or calculated results. The detector serving-extrinsic value322 can be a difference between the detector serving-a-posteriori value320 and the detector serving-a-priori value 318. The detectorserving-extrinsic value 322 can be expressed as:

L _(m,n) ^((ext,1,k)) =L _(m,n) ^((A,1,k)) −L _(m,n)^((a,1,k)).  Equation (9).

The superscript ‘k’ can be ‘I’ for interference signals or ‘D’ forintended signals. For the detector serving-extrinsic value 322, thesuperscript ‘k’ can be represented with ‘D’.

The serving analysis module 314 can calculate the detectorserving-extrinsic value 322 with the first communication unit 216, thesecond communication unit 236, the first control unit 212, the secondcontrol unit 234, or a combination thereof using Equation (9) or otherequations or methods, such as using noise variance, the serving channelestimate 126, the interference channel estimate 130, a-priori ora-posteriori values, or a combination thereof. The serving analysismodule 314 can further store the detector serving-extrinsic value 322 inthe first storage unit 214, the second storage unit 246, or acombination thereof.

The interference analysis module 316 is configured to determineinformation regarding the interference portion 122, the interferencechannel 116 of FIG. 1, or a combination thereof. The interferenceanalysis module 316 can be similar to the serving analysis module 314but for the interference portion 122 and the interference channel 116instead of the serving portion 120 and the transmitter channel 110.

The interference analysis module 316 can determine information regardingthe interference channel 116 by estimating the interference channelestimate 130. The interference analysis module 316 can estimate theinterference channel estimate 130 using a variety of methods similar tothe ones described above for estimating the serving channel estimate126.

The interference analysis module 316 can further determine informationregarding the interference portion 122 by calculating a detectorinterference-a-priori value 324, a detector interference-a-posteriorivalue 326, and a detector interference-extrinsic value 328. The detectorinterference-a-priori value 324 is a prior knowledge for the detectormodule 302 or a portion therein, such as the interference analysismodule 316, about the interference signal 114, the receiver signal 118,the repeat response 134, or a combination thereof.

The detector interference-a-priori value 324 can be similar to thedetector serving-a-priori value 318 but regarding the interferencesignal 114 instead of the transmitter signal 108. For example, thedetector interference-a-priori value 324 can be a measure of confidencelevel, such as an LLR value, associated with a specific portion of thereceiver signal 118, the repeat response 134, or a combination thereofcorresponding to the interference signal 114. Also for example, thedetector interference-a-priori value 324 can be expressed using Equation(2), but with the superscript ‘k’ represented with ‘I’.

Further, the interference analysis module 316 can similarly receive thedetector interference-a-priori value 324 from an external source, orbased on a result from a previous iteration by the interference analysismodule 316, the external source, or a combination thereof. Moreover, theinterference analysis module 316 can similarly initialize the detectorinterference-a-priori value 324.

The interference analysis module 316 can determine the detectorinterference-a-posteriori value 326. The detectorinterference-a-posteriori value 326 is a later knowledge for thedetector module 302 or a component therein, such as the interferenceanalysis module 316, about the interference signal 114, the receiversignal 118, the repeat response 134, or a combination thereof.

The detector interference-a-posteriori value 326 can be a soft estimatesimilar to the detector serving-a-posteriori value 320 but regarding theinterference signal 114 instead of the transmitter signal 108. Forexample, the detector interference-a-posteriori value 326 can be ameasure of confidence level, including an LLR value, for a specificportion of the receiver signal 118, the repeat response 134, or acombination thereof corresponding to a specific value of informationcorresponding to the interference signal 114 or a portion therein. Alsofor example, the detector interference-a-posteriori value 326 can beexpressed using one or more equations from Equations (3)-(8), butadjusted for the interference signal 114 instead of the transmittersignal 108.

The interference analysis module 316 can similarly calculate thedetector interference-a-posteriori value 326 with the firstcommunication unit 216, the second communication unit 236, the firstcontrol unit 212, the second control unit 234, or a combination thereofusing Equation (3) or (4) adjusted for the interference signal 114. Theinterference analysis module 316 can store the detectorinterference-a-posteriori value 326 in the first storage unit 214, thesecond storage unit 246, or a combination thereof.

The interference analysis module 316 can further calculate the detectorinterference-extrinsic value 328. The detector interference-extrinsicvalue 328 is new information that is not derived from receivedinformation with respect to the detector module 302 or a portiontherein, such as the interference analysis module 316.

The detector interference-extrinsic value 328 can be a calculated orestimated value similar to the detector serving-extrinsic value 322 butfor the interference signal 114 instead of the transmitter signal 108.The detector interference-extrinsic value 328 can be a soft estimaterepresenting an error, an improvement, or a difference between instancesof processing or calculated results. The detector interference-extrinsicvalue 328 can be a difference between the detectorinterference-a-posteriori value 326 and the detectorinterference-a-priori value 324. The detector interference-extrinsicvalue 328 can be expressed using Equation (9) with the superscript ‘k’represented by ‘I’.

The interference analysis module 316 can similarly calculate thedetector interference-extrinsic value 328 with the first communicationunit 216, the second communication unit 236, the first control unit 212,the second control unit 234, or a combination thereof using Equation (9)adjusted for the interference signal, or other equations or methods,such as using noise variance, the serving channel estimate 126, theinterference channel estimate 130, a-priori or a-posteriori values, or acombination thereof. The interference analysis module 316 can store thedetector interference-extrinsic value 328 in the first storage unit 214,the second storage unit 246, or a combination thereof.

The signal analysis module 312 can use the serving analysis module 314,the interference analysis module 316, or a combination thereof toprocess the receiver signal 118, the repeat response 134, or acombination thereof. For example, the signal analysis module 312 cancalculate an initial extrinsic value 330 based on the receiver signal118, a subsequent extrinsic value 332 based on the repeat response 134,or a combination thereof.

As a more specific example, the initial extrinsic value 330 can be thedetector serving-a-posteriori value 320 or the detectorserving-extrinsic value 322 calculated by the serving analysis module314, the detector interference-a-posteriori value 326 or the detectorinterference-extrinsic value 328 calculated by the interference analysismodule 316, or a combination thereof calculated from the receiver signal118. As a further specific example, the subsequent extrinsic value 332can be the detector serving-a-posteriori value 320 or the detectorserving-extrinsic value 322 calculated by the serving analysis module314, the detector interference-a-posteriori value 326 or the detectorinterference-extrinsic value 328 calculated by the interference analysismodule 316, or a combination thereof calculated from the repeat response134.

The signal analysis module 312 can further implement aninterference-aware processing mechanism 334 through the serving analysismodule 314, the interference analysis module 316, or a combinationthereof for determining the serving portion 120, the interferenceportion 122, a portion therein, or a combination thereof.

The interference-aware processing mechanism 334 is a method or a set ofinstructions for determining and utilizing both the serving portion 120and the interference portion 122 within the receiver signal 118, therepeat response 134, or a combination thereof. The interference-awareprocessing mechanism 334 can have the communication system 100determine, estimate, calculate, or a combination thereof for the servingdata 124, the serving channel estimate 126, or a combination thereof andthe interference data 128, the interference channel estimate 130, or acombination thereof.

The interference-aware processing mechanism 334 can have thecommunication system 100 utilize the serving data 124, the servingchannel estimate 126, or a combination thereof to determine or adjustthe interference data 128, the interference channel estimate 130, or acombination thereof. The interference-aware processing mechanism 334 canalso have the communication system 100 utilize the interference data128, the interference channel estimate 130, or a combination thereof todetermine or adjust the serving data 124, the serving channel estimate126, or a combination thereof.

The interference-aware processing mechanism 334 can have thecommunication system 100 determine and utilize the interference portion122 instead of processing the interference portion 122 as a noiseparameter, an artifact in the serving channel estimate 126, or acombination thereof. The detector module 302 can have theinterference-aware processing mechanism 334 stored in the first storageunit 214, the second storage unit 246, or a combination thereof.

The communication system 100 can have the detector module 302 implementall or a portion of the interference-aware processing mechanism 334using the first communication unit 216, the second communication unit236, the first control unit 212, the second control unit 234, or acombination thereof. The detector module 302 can be aninterference-aware detector, a detector within iterative or jointdetector-decoder architecture, or a combination thereof. The detectormodule 302 can also treat the serving portion 120 and the interferenceportion 122 as different layers within a signal, successively decode theserving portion 120 and the interference portion 122, or a combinationthereof.

After processing the receiver signal 118, the repeat response 134, or acombination thereof, the control flow can be passed to the combiningmodule 304. The control flow can pass by having processing results, suchas the detector serving-a-posteriori value 320, the detectorserving-extrinsic value 322, the detector interference-a-posteriorivalue 326, detector interference-extrinsic value 328, or a combinationthereof pass from the detector module 302 to the combining module 304,by storing the processing results at a location known and accessible tothe combining module 304, by notifying the combining module 304, such asby using a flag, an interrupt, a status signal, or a combination, or acombination of processes thereof.

The combining module 304 is configured to combine processing resultsacross multiple transmissions, multiple modules or iterations, or acombination thereof. For example, the combining module 304 can check forerrors, interleave, de-interleave, or a combination thereof for resultsof the detector module 302, the decoding module 306, or a combinationthereof. Also for example, the combining module 304 can combineprocessing results from the detector module 302, the decoding module306, or a combination thereof for the receiver signal 118, the repeatresponse 134, across iterations of one or more modules, or a combinationthereof.

As a more specific example, the combining module 304 can check forerrors by performing cyclic redundancy check (CRC), check sum errorcheck, or a combination thereof. For a further specific example, thecombining module 304 can interleave, de-interleave, or a combinationthereof for results of the detector module 302, results of the decodingmodule 306, resulting bits, resulting symbols, or a combination thereofby rearranging the order thereof. The combining module 304 caninterleave, de-interleave, or a combination thereof according to variouscoding schemes, including turbo coding.

The combining module 304 can be configured to combine processing resultsacross the receiver signal 118 and the repeat response 134. For example,the combining module 304 can combine the repeat response 134 and thereceiver signal 118 based on combining the serving data 124, the servingchannel estimate 126, the interference channel estimate 130, theinterference data 128, or a combination thereof. Details for combiningprocesses will be described below.

The decoding module 306 is configured to decode signals detected by thecommunication system 100. The decoding module can be configured todecode the receiver signal 118, the repeat response 134, or acombination thereof.

The decoding module 306 can decode signals by calculating a decoderserving-a-priori value 336, a decoder serving-a-posteriori value 338, adecoder serving-extrinsic value 340, a decoder interference-a-priorivalue 342, a decoder interference-a-posteriori value 344, a decoderinterference-extrinsic value 346, or a combination thereof. The decoderserving-a-priori value 336 is a prior knowledge for the decoding module306 about the transmitter signal 108, the receiver signal 118, therepeat response 134, or a combination thereof.

The decoder serving-a-priori value 336 can be similar to the detectorserving-a-priori value 318 but with respect to the decoding module 306instead of the detector module 302. For example, the decoderserving-a-priori value 336 can be a measure of confidence level,including an LLR value, associated with a specific portion of thetransmitter signal 108, the receiver signal 118, the repeat response134, or a combination thereof corresponding to a specific value of asymbol, a bit, or a combination thereof regarding the transmitter signal108. Also for example, the decoder serving-a-priori value 336 can beexpressed as same as Equation (2) but with L_(m,n) ^((a,2,D))representing the decoder serving-a-priori value 336 in place of L_(m,n)^((a,1,D)) for the detector serving-a-priori value 318.

The decoder interference-a-priori value 342 is a prior knowledge for thedecoding module 306 about the interference signal 114, the receiversignal 118, the repeat response 134, or a combination thereof. Thedecoder interference-a-priori value 342 can be similar to the decoderserving-a-priori value 336 but for the interference signal 114 insteadof the transmitter signal 108. The decoder interference-a-priori value342 can also be similar to the detector interference-a-priori value 324but with respect to the decoding module 306 instead of the detectormodule 302.

For example, the decoder interference-a-priori value 342 can be ameasure of confidence level, including an LLR value, associated with aspecific portion of the interference signal 114, the receiver signal118, the repeat response 134, or a combination thereof corresponding toa specific value of a symbol, a bit, or a combination thereof. Also forexample, the decoder interference-a-priori value 342 can be similarlyexpressed using Equation (2) but with L_(m,n) ^((a,2,I)) representingthe decoder serving-a-priori value 336 in place of L_(m,n) ^((a,1,I))for the detector serving-a-priori value 318.

The decoding module 306 can receive the decoder serving-a-priori value336, the decoder interference-a-priori value 342, or a combinationthereof from a source external to the decoding module 306, such as thecombining module 304 or the decoding module. The decoding module 306 canalso receive the decoder serving-a-priori value 336, the decoderinterference-a-priori value 342, or a combination thereof from a resultcalculated on a previous iteration by the decoding module 306, thecombining module 304, the detector module 302, or a combination thereof.

The decoding module 306 can also initialize the decoder serving-a-priorivalue 336, the decoder interference-a-priori value 342, or a combinationthereof. The initialization process or the value can be similar to thatof the detector module 302.

The decoding module 306 can calculate the decoder serving-a-posteriorivalue 338, the decoder interference-a-posteriori value 344, or acombination thereof. The decoder serving-a-posteriori value 338 is alater knowledge for the decoding module 308 about the transmitter signal108, the receiver signal 118, the repeat response 134, or a combinationthereof. The decoder interference-a-posteriori value 344 is a laterknowledge for the decoding module 308 about the interference signal 114,the receiver signal 118, the repeat response 134, or a combinationthereof.

The decoder serving-a-posteriori value 338 can be similar to thedetector serving-a-posteriori value 320 but for the decoding module 306instead of the detector module 302. For example, the decoderserving-a-posteriori value 338 can be a measure of confidence level,including an LLR value, associated with a specific portion of thetransmitter signal 108, the receiver signal 118, the repeat response134, or a combination thereof corresponding to a specific value of asymbol, a bit, or a combination thereof. Also for example, the decoderserving-a-posteriori value 338 can be expressed using Equation (3), (4),or a combination thereof, but with L_(m,n) ^((A,2,D)) representing thedecoder serving-a-posteriori value 338 in place of L_(m,n) ^((A,1,D))for the detector serving-a-posteriori value 320.

The decoder interference-a-posteriori value 344 can be similar to thedecoder serving-a-posteriori value 338 but for the interference signal114 instead of the transmitter signal 108. The decoderinterference-a-posteriori value 344 can also be similar to the detectorinterference-a-posteriori value 326 but with respect to the decodingmodule 306 instead of the detector module 302.

For example, the decoder interference-a-posteriori value 344 can be ameasure of confidence level, including an LLR value, associated with aspecific portion of the interference signal 114, the receiver signal118, the repeat response 134, or a combination thereof corresponding toa specific value of a symbol, a bit, or a combination thereof. Also forexample, the decoder interference-a-posteriori value 344 can beexpressed as same as Equation (3), (4), or a combination thereof butwith L_(m,n) ^((A,2,I)) representing the decoder serving a-posteriorivalue 338 in place of L_(m,n) ^((A,1,I)) for the detector servinga-posteriori value 320.

The decoding module 306 can calculate the decoder serving-a-posteriorivalue 338, the decoder interference-a-posteriori value 344, or acombination thereof with the first communication unit 216, the secondcommunication unit 236, the first control unit 212, the second controlunit 234, or a combination thereof using one or more equation fromEquation (3)-(8). The decoding module 306 can further store the decoderserving-a-posteriori value 338, the decoder interference-a-posteriorivalue 344, or a combination thereof in the first storage unit 214, thesecond storage unit 246, or a combination thereof.

The decoding module 306 can further calculate the decoderserving-extrinsic value 340, the decoder interference-extrinsic value346, or a combination thereof. The decoder serving-extrinsic value 340is new information that is not derived from received information withrespect to the decoding module 306. The decoder interference-extrinsicvalue 346 is new information that is not derived from receivedinformation with respect to the decoding module 306.

The decoder serving-extrinsic value 340 can be similar to the detectorserving-extrinsic value 322 but for the decoding module 306 instead ofthe detector module 302. For example, the decoder serving-extrinsicvalue 340 can be a calculated or estimated value representing an error,an improvement, or a difference between instances of processing orcalculated results regarding the transmitter signal 108. Also forexample, the decoder serving-extrinsic value 340 can be expressed usingEquation (9) with L_(m,n) ^((ext,2,D)) representing the decoderserving-extrinsic value 340 in place of L_(m,n) ^((ext,1,D)) for thedetector serving-extrinsic value 322.

The decoder interference-extrinsic value 346 can be similar to thedecoder serving-extrinsic value 340 but for the interference signal 114instead of the transmitter signal 108. The decoderinterference-extrinsic value 346 can also be similar to the detectorinterference-extrinsic value 328 but with respect to the decoding module306 instead of the detector module 302.

For example, the decoder interference-extrinsic value 346 can acalculated or estimated value representing an error, an improvement, ora difference between instances of processing or calculated resultsregarding the interference signal 114. Also for example, the decoderinterference-extrinsic value 346 can be expressed using Equation (9)with L_(m,n) ^((ext,2,I)) representing the decoderinterference-extrinsic value 346 in place of L_(m,n) ^((ext,1,I)) forthe detector interference-extrinsic value 328.

The decoding module 306 can calculate the decoder serving-a-priori value336, the decoder serving-a-posteriori value 338, the decoderserving-extrinsic value 340, the decoder interference-a-priori value342, the decoder interference-a-posteriori value 344, the decoderinterference-extrinsic value 346, or a combination thereof using theinterference-aware processing mechanism 334.

The communication system 100 can have the decoding module 306 implementall or a portion of the interference-aware processing mechanism 334using the first communication unit 216, the second communication unit236, the first control unit 212, the second control unit 234, or acombination thereof. The decoding module 306 can be aninterference-aware decoder, a decoder within iterative or jointdetector-decoder architecture, or a combination thereof. The decodingmodule 306 can also treat the serving portion 120 and the interferenceportion 122 as different layers within a signal, successively decode theserving portion 120 and the interference portion 122, or a combinationthereof.

The decoding module 306 can generate a replication data 348. Thereplication data 348 is a regenerated instance of the intended data inthe transmitter signal 108. The replication data 348 can be the servingdata 124 as originally intended in the transmitter signal 108.

The replication data 348 can be the result of successfully detecting anddecoding the receiver signal 118, the repeat response 134, or acombination thereof. The replication data 348 can be the resultsatisfying an error check, such CRC or check sum.

The decoding module 306 can generate the replication data 348 bydecoding the receiver signal 118, the repeat response 134, or acombination thereof. The decoding module 306 can further generate thereplication data 348 by passing the result of the detection and decodingfor further processing by the communication system 100, including by themobile device 102, the base station 106, or a combination thereof.

The decoding module 306 can also generate the replication data 348 basedon a combination of the receiver signal 118 and the repeat response 134.The decoding module 306 can generate the replication data 348 bydecoding a result from the combining module 304 that incorporates andcombines both the receiver signal 118 and the repeat response 134. Thedecoding module 306 can generate the replication data 348 based onincorporating and combining the receiver signal 118 and the repeatresponse 134 using the bit-level information 109 of FIG. 1, thesymbol-level information 111, or a combination thereof.

The decoding module 306 can generate the replication data 348 using aresult from the combining module 304 for combining various data. Thecombining module 304 can use an overlap module 350, a control module352, a bit-level module 354, a symbol-level module 356, or a combinationthereof to combine various data. The overlap module 350 is configured todetermine an overlap region 140 of FIG. 1 between the receiver signal118 and the repeat response 134.

The overlap module 350 is configured to identify the overlap region 140between the receiver signal 118 and the repeat response 134. The overlapmodule 350 can identify the overlap region 140 by comparing the receiversignal 118 and the repeat response 134, processing results thereof,including results from the detector module 302, the decoding module 306or a combination thereof.

The overlap module 350 can compare the detector serving-a-posteriorivalue 320, the detector serving-extrinsic value 322, the decoderserving-a-posteriori value 338, the decoder serving-extrinsic value 340,or a combination thereof corresponding to the receiver signal 118 to oneor more values corresponding to the repeat response 134. The overlapmodule 350 can also compare the bit-level information 109, thesymbol-level information 111, or a combination thereof decoded from thereceiver signal 118 to the information decoded from the repeat response134.

The overlap module 350 can identify the overlap region 140 using thefirst communication unit 216, the second communication unit 236, thefirst control unit 212, the second control unit 234, or a combinationthereof to include a consecutive sequence for the bit-level information109, the symbol-level information 111, or a combination thereof commonin both the receiver signal 118 and the repeat response 134. The overlapregion 140 can include the serving data 124 originally in the receiversignal 118 corresponding to the initial data 136 of FIG. 1 and repeatedin the repeat response 134 corresponding to the repeat data 138 of FIG.1.

The control module 352 is configured to manage the combining process forthe receiver signal 118 and the repeat response 134. The control module352 can manage the combining process by utilizing multiple combiningmethods, performing combination process for different portions withinthe receiver signal 118 and the repeat response 134, or a combinationthereof.

For example, the control module 352 can combine the receiver signal 118and the repeat response 134 for the bit-level information 109, thesymbol-level information 111, or a combination thereof. As a morespecific example, the control module 352 can manage the combiningprocess to combine the repeat response 134 and the receiver signal 118for the symbol-level information 111 only in the overlap region 140,combine for the bit-level information 109 only in the non-overlappingregion 142 of FIG. 1, or a combination thereof.

The control module 352 can manage the combining process by using thefirst communication interface 228 of FIG. 2, the second communicationinterface 250 of FIG. 2, the first control interface 222 of FIG. 2, thesecond control interface 244 of FIG. 2, or a combination thereof toactivate one or more modules to process the information, such as bypassing necessary data or sending an enabling signal thereto. Forexample, the control module 352 can activate the bit-level module 354for combining for the bit-level information 109, the symbol-level module356 for combining for the symbol-level information 111, or a combinationthereof.

It has been discovered that the control module 352 managing thecombining process to combine for the symbol-level information 111 onlyin the overlap region 140, combine for the bit-level information 109only in the non-overlapping region 142, or a combination thereofprovides increased accuracy in regenerating intended signals at areceiver device. The control module 352 can utilize bit-level combiningprocess and symbol-level combining process for portions that maximizethe efficiency and accuracy of each process and minimize theirindividual weaknesses given the conditions surrounding theretransmissions, such as availability of repeated data.

The bit-level module 354 is configured to combine the repeat response134 and the receiver signal 118 for the bit-level information 109. Thebit-level module 354 can combine the repeat response 134 and thereceiver signal 118 for the bit-level information 109 by applying Bayes'theorem to develop the extrinsic information of the desired signal.

The bit-level module 354 can send cause the detector module 302, such asby sending a signal or setting a bit, to modify the detectorserving-extrinsic value 322. Alternatively, the bit-level module 354 canadjust the detector serving-extrinsic value 322. The bit-level module354 can combine for the bit-level information 109 according to:

$\begin{matrix}{L_{m,n}^{({{ext},1,D})} = {{{\log \; \frac{P\left( {\left. \left\{ y_{k} \right\}_{k = 1}^{i} \middle| b_{m,n}^{D} \right. = {+ 1}} \right)}{P\left( {\left. \left\{ y_{k} \right\}_{k = 1}^{i} \middle| b_{m,n}^{D} \right. = {- 1}} \right)}} \approx {\sum_{k = 1}^{i}{\log \; \frac{P\left( {\left. y_{k} \middle| b_{m,n}^{D} \right. = {+ 1}} \right)}{P\left( {\left. y_{k} \middle| b_{m,n}^{D} \right. = {- 1}} \right)}}}} = {{\sum_{k = 1}^{i}L_{m,n,k}^{({{ext},1,D})}}..}}} & {{Equation}\mspace{14mu} (10)}\end{matrix}$

The bit-level module 354 can update the detector serving-extrinsic value322 following Equation (10) at each transmission, such as for thereceiver signal 118 and the repeat response 134. The bit-level module354 can add to a stored instance of the LLR that is the sum of extrinsicLLRs from the 1^(st) to (i−1)^(th) transmission. The bit-level module354 can add LLRs resulting from transmissions based on determination ofthe signal identification module 310, for transmissions receivedcorresponding to the repeat request 132.

For example, the bit-level module 354 can store the detectorserving-extrinsic value 322 as the initial extrinsic value 330 for thefirst transmission, such as for the receiver signal 118. The bit-levelmodule 354 can receive the detector serving-extrinsic value 322resulting from a subsequent transmission, including the repeat response134, as the subsequent extrinsic value 332. The bit-level module 354 canadd the initial extrinsic value 330 and the subsequent extrinsic value332 and store the sum as a new and updated instance of the initialextrinsic value 330.

Continuing with the example, the combining module 304 can interleave theinitial extrinsic value 330 as described above. After interleaving thecombining module 304 can pass the initial extrinsic value 330 to thedecoding module 306 for the decoding process.

The communication system 100 can use the interference portion 122 tocalculate, determine, refine, adjust, or a combination of processesthereof in determining the serving data 124. The bit-level module 354can utilize only the serving data 124 determined using the interferenceportion 122 for combining the receiver signal 118 and the repeatresponse 134 for the bit-level information 109.

The bit-level module 354 can use the first communication unit 216, thesecond communication unit 236, the first control unit 212, the secondcontrol unit 234, or a combination thereof to combine the detectorserving-extrinsic value 322 across transmissions, such as for theinitial extrinsic value 330 and the subsequent extrinsic value 332. Thebit-level module 354 can store the resulting sum for the instances ofthe detector serving-extrinsic value 322, such as the new updatedinstance of the initial extrinsic value 330, in the first storage unit214, the second storage unit 246, or a combination thereof.

It has been discovered that the bit-level module 354 combining theinitial extrinsic value 330 and the subsequent extrinsic value 332 forthe detector module 302 utilizing the interference-aware processingmechanism 334 provides lower error rate and increased throughput. Theactual determination of the interference data 128 and the interferencechannel estimate 130, as opposed to treating them as part of noise orthe serving channel estimate 126, and their use in determining theserving data 124 increases the accuracy of the serving data 124. Theincreased accuracy of determining the serving data 124 can reduce thenumber of retransmissions, which can increase the throughput for thecommunication system 100.

The symbol-level module 356 is configured to combine the receiver signal118 and the repeat response 134 for the symbol-level information 111.The symbol-level module 356 can have a variety of methods for combiningthe receiver signal 118 and the repeat response 134. Details regardingthe symbol-level module 356 will be discussed below.

Referring now to FIG. 4, therein is shown a further control flow of thecommunication system 100. The communication system 100 can include thedetector module 302, the combining module 304, and the decoding module306 as shown in FIG. 3. The detector module 302 and the decoding module306 can be similar to the description given above.

The detector module 302 can determine an initial-interference-channel402, a subsequent-interference-channel 404, or a combination thereof.The initial-interference-channel 402 can be the interference channelestimate 130 of FIG. 1 corresponding to the receiver signal 118 of FIG.1 and the subsequent-interference-channel 404 can be the interferencechannel estimate 130 corresponding to the repeat response 134 of FIG. 1.The detector module 302 can determine the initial-interference-channel402, the subsequent-interference-channel 404, or a combination thereofas described above.

For example, the interference analysis module 316 of FIG. 3 can beconfigured to determine the initial-interference-channel 402representing the interference channel estimate 130 associated with thereceiver signal 118 using reference communications, such as pilot toneor reference signal, transmitted by the base station 106 of FIG. 1. Alsofor example, the interference analysis module 316 can determine thesubsequent-interference-channel 404 representing the interferencechannel estimate 130 associated with the repeat response 134.

The decoding module 306 can be configured to determine aninitial-interference-data 406, a subsequent-interference-data 408, or acombination thereof. The initial-interference-data 406 can be theinterference data 128 of FIG. 1 or a representation thereof determinedfrom the interference portion 122 of FIG. 1 of the receiver signal 118.The subsequent-interference-data 408 can be the interference data 128 ora representation thereof corresponding to the repeat response 134.

The decoding module 306 can determine the initial-interference-data 406,the subsequent-interference-data 408, or a combination thereof asdescribed above. For example, the decoding module 306 can determine theinitial-interference-data 406, the subsequent-interference-data 408, ora combination thereof using the interference-aware processing mechanism334 of FIG. 3 for determining the serving data 124 of FIG. 1, such ascorresponding to the initial data 136 of FIG. 1 or the repeat data 138of FIG. 1, the interference data 128, the initial data 136 of FIG. 1,the repeat data 138 of FIG. 1, or a combination thereof.

Also for example, the decoding module 306 can use the detectorinterference-a-posteriori value 326 of FIG. 3, the detectorinterference-extrinsic value 328 of FIG. 3, the decoderinterference-a-posteriori value 344 of FIG. 3, the decoderinterference-extrinsic value 346 of FIG. 3, or a combination thereof todetermine the initial-interference-data 406, thesubsequent-interference-data 408, or a combination thereof. As a morespecific example, the decoding module 306 can assign the value of thedetector interference-a-posteriori value 326, the detectorinterference-extrinsic value 328, the decoder interference-a-posteriorivalue 344, the decoder interference-extrinsic value 346, or acombination thereof as the initial-interference-data 406, thesubsequent-interference-data 408, or a combination thereof.

As an example embodiment, the symbol-level module 356 can include astacking module 410 of FIG. 4 configured to combine the repeat response134 and the receiver signal 118 for the symbol-level information 111 ofFIG. 1. The stacking module 410 can combine the repeat response 134 andthe receiver signal 118 using the initial-interference-channel 402, thesubsequent-interference-channel 404, the initial-interference data 128,the subsequent-interference-data 408, or a combination thereof.

For example, the stacking module 410 can combine theinitial-interference-data 406 with the subsequent-interference-data 408,combine the initial-interference-channel 402 with thesubsequent-interference-channel 404, or a combination thereof. Thestacking module 410 can use the first communication unit 216 of FIG. 2,the second communication unit 236 of FIG. 2, the first control unit 212of FIG. 2, the second control unit 234 of FIG. 2, or a combinationthereof to combine the repeat response 134 and the receiver signal 118.

The stacking module 410 can stack channel matrices, such as the servingchannel estimate 126 of FIG. 1 or the interference channel estimate 130for the receiver signal 118, the repeat response, or a combinationthereof. The stacking module 410 can also stack received data, such asthe serving data 124 or the interference data 128 for the receiversignal 118, the repeat response, or a combination thereof.

The stacking module 410 can stack by concatenating matrices for oradding newly received or determined information to previous that ofprevious transmissions to calculate a concatenation signal set 412 ofFIG. 4. The concatenation signal set 412, including the receiver signal118 and the repeat response 134, can include theinitial-interference-channel 402, the initial-interference-data 406, thesubsequent-interference-channel 404, the subsequent-interference-data408, an initial-serving-channel 414 of FIG. 4, an initial-serving-data416, a subsequent-serving-channel 418, a subsequent-serving-data 420, ora combination thereof.

The initial-serving-channel 414 and the initial-serving-data 416 can bethe serving channel estimate 126 and the initial data 136, respectively,corresponding to the receiver signal 118. The subsequent-serving-channel418 and the subsequent-serving-data 420 can be the repeat data 138 andthe serving channel estimate 126, respectively, corresponding to therepeat response 134. The concatenation signal set 412 can be expressedup to the i^(th) transmission as:

$\begin{matrix}\begin{matrix}{y_{i}^{acc} = {\begin{bmatrix}y_{1} \\\vdots \\y_{i}\end{bmatrix} = {{\begin{bmatrix}H_{D,1} & H_{I,1} & 0 & 0 \\\vdots & 0 & \ddots & 0 \\H_{D,i} & 0 & 0 & H_{I,i}\end{bmatrix}\begin{bmatrix}x_{D} \\x_{I,1} \\\vdots \\x_{I,i}\end{bmatrix}} + \begin{bmatrix}n_{1} \\\vdots \\n_{i}\end{bmatrix}}}} \\{= {{{H_{D,i}^{(s)}x_{D}} + {\sum_{k = 1}^{i}{H_{I,k}^{(s)}x_{I,k}}} + n_{i}^{(s)}}..}}\end{matrix} & {{Equation}\mspace{14mu} (11)}\end{matrix}$

For Equation (11), y_(i) ^(acc) can represent the concatenation signalset 412 as an accumulation of all instances of transmissions receivedfor the communication system 100, or instances specific to the receiversignal 118 and instances of the repeat response 134. The terms H_(D,i)^((s)) H_(I,k) ^(s) can be the first and (k+1)^(th) column sub-matricesof the concatenated channel matrix, respectively. Using theinterference-aware processing mechanism 334, the stacking module 410,the detector module 302, the decoding module 306, or a combinationthereof can use Equation (11) directly with Equation (4) to process theconcatenation signal set 412.

The stacking module 410, the control module 352, the detector module302, the decoding module 306, or a combination thereof can manage thecontrol flow to calculate the detector serving-extrinsic value 322 ofFIG. 3 and the detector interference-extrinsic value 328, expressed asL_(m,n,i) ^((ext,1,D)) and L_(m,n,i) ^((ext,1,I)), sequentially at thei^(th) transmission where the transmission index k can be from 1 to i.The stacking module 410, the control module 352, the detector module302, the decoding module 306, or a combination thereof can further usethe interference-aware processing mechanism 334 to update a-prioriinformation of b^(D) and b^(I,k) from the decoding module 306.

It has been discovered that the concatenation signal set 412 includingthe serving data 124, the serving channel estimate 126, the interferencedata 128, and the interference channel estimate 130 for all relevanttransmissions processed with the interference-aware processing mechanism334 provides accurate and speedy reproduction of the replication data348 of FIG. 3. The concatenation signal set 412 processed with theinterference-aware processing mechanism 334 generates optimal extrinsicLLR values, which increases the accuracy of the decoding process whichreduces the number of retransmissions necessary for generating thereplication data 348.

It has also been discovered that the concatenation signal set 412including the serving data 124, the serving channel estimate 126, theinterference data 128, and the interference channel estimate 130increase efficiency for the communication system 100. The concatenationsignal set 412 including the serving data 124, the serving channelestimate 126, the interference data 128, and the interference channelestimate 130 allow for the communication system 100 to fully utilizerepeated data and combine the signals at the symbol-level information111 of FIG. 1.

Referring now to FIG. 5, therein is shown a further control flow of thecommunication system 100. The communication system 100 can include thedetector module 302, the combining module 304, and the decoding module306 as shown in FIG. 3. The detector module 302 and the decoding module306 can be similar to the description given above.

For example, the interference analysis module 316 of FIG. 3 can beconfigured to determine the initial-interference-channel 402 of FIG. 4for representing the interference channel estimate 130 of FIG. 1associated with the receiver signal 118 of FIG. 1. The interferenceanalysis module 316 can determine the subsequent-interference-channel404 of FIG. 4 for representing the interference channel estimate 130associated with the repeat response 134 of FIG. 1, or a combinationthereof as described above.

Also for example, the decoding module 306 can determine theinitial-interference-data 406 of FIG. 4 based on the decoderinterference-a-posteriori value 344 of FIG. 3, the decoderinterference-extrinsic value 346 of FIG. 3, or a combination thereofassociated with the receiver signal 118. The decoding module 306 candetermine the subsequent-interference-data 408 of FIG. 4 based on thedecoder interference-a-posteriori value 344, the decoderinterference-extrinsic value 346, or a combination thereof associatedwith the receiver signal 118.

As an example embodiment, the symbol-level module 356 can include aninterference cancellation module 502, a whitening module 504, and acancellation combination module 506. The interference cancellationmodule 502 is configured to determine and remove the interferenceportion 122 of FIG. 1 from the receiver signal 118.

The interference cancellation module 502 can remove the interferenceportion 122 from the receiver signal 118 by calculating aninitial-cancellation-product 508 from the receiver signal 118, therepeat response 134, or a combination thereof based on aninitial-interference soft-estimate 510, the initial-interference-data406, or a combination thereof. The initial-cancellation-product 508 is aremaining portion of the receiver signal 118 after removing theinterference portion 122.

The initial-cancellation-product 508 can be an estimation of the servingportion 120 of FIG. 1 or the serving data 124 of FIG. 1 thereinoriginally intended in the receiver signal 118. The interferencecancellation module 502 can calculate the initial-cancellation-product508 by removing the initial-interference-data 406, theinitial-interference-channel 402, or a combination thereof from thereceiver signal 118.

The interference cancellation module 502 can calculate theinitial-cancellation-product 508 using the first communication unit 216of FIG. 2, the second communication unit 236 of FIG. 2, the firstcontrol unit 212 of FIG. 2, the second control unit 234 of FIG. 2, or acombination thereof when the communication system 100 determines thatthe repeat request 132 of FIG. 1 is necessary and before receiving thenext transmission, including the repeat response 134. The interferencecancellation module 502 can store the initial-cancellation-product 508in the first storage unit 214 of FIG. 2, the second storage unit 246 ofFIG. 2, or a combination thereof.

The initial-cancellation-product 508 can be expressed as:

ý _(i) =y _(i) −H _(I,i) x _(I,i) =H _(I,i) x _(D)+ν_(i).  Equation(12).

The term ν_(i) can represent residual interference and the receivednoise. The term x _(I,i) can represent a vector for theinitial-interference soft-estimate 510 and its n^(th) scalar element.

The initial-interference soft-estimate 510 is a likelihood, alikelihood-based derivation, or a combination thereof associated withthe interference portion 122. The initial-interference soft-estimate 510can be based on the initial-interference-data 406, theinitial-interference-channel 402, or a combination thereof and representa likelihood or a likelihood-based result of one or more possible orlikely values for the initial-interference-data 406.

The initial-interference soft-estimate 510 can be expressed as:

$\begin{matrix}{{{\overset{\_}{x}}_{I,i}(n)} = {{E\left\lbrack {x_{I,i}(n)} \middle| L^{({A,2,I})} \right\rbrack} = {{\sum_{s_{k} \in e}{s_{k}{\prod_{m = 1}^{M}{\frac{1}{2}\left( {1 + {b_{m,n}^{I}{\tanh\left( \frac{L_{m,n,i}^{({A,2,I})}}{2} \right)}}} \right)}}}}..}}} & {{Equation}\mspace{14mu} (13)}\end{matrix}$

The term

can refer to the set of M-ary QAM constellation points. The interferencecancellation module 502 can calculate the initial-interferencesoft-estimate 510 using the decoder interference-a-posteriori value 344corresponding to the m^(th) bit of the n^(th) symbol at the i^(th)transmission, such as the receiver signal 118.

The interference cancellation module 502 can calculate theinitial-interference soft-estimate 510 according to Equation (13) usingthe first communication unit 216, the second communication unit 236, thefirst control unit 212, the second control unit 234, or a combinationthereof. The interference cancellation module 502 can store theinitial-interference soft-estimate 510 in the first storage unit 214,the second storage unit 246, or a combination thereof. The interferencecancellation module 502 can also discard the initial-interferencesoft-estimate 510 and only store the initial-cancellation-product 508.

The interference cancellation module 502 can similarly calculate asubsequent-interference soft-estimate 512 and asubsequent-cancellation-product 514 but for the repeat response 134instead of the receiver signal 118. For example, the interferencecancellation module 502 can use Equations (12)-(13), thesubsequent-interference-data 408, or a combination thereof and processescorresponding thereto for the transmission corresponding to the repeatresponse 134 as described above. The interference cancellation module502 can store the subsequent-interference soft-estimate 512, thesubsequent-cancellation-product 514, or a combination thereof, discardthe subsequent-cancellation-product 514, or a combination of processesthereof.

For example, the interference cancellation module 502 can calculate thesubsequent-cancellation-product 514 from the repeat response 134 basedon the subsequent-interference soft-estimate 512. The interferencecancellation module 502 can calculate the subsequent-interferencesoft-estimate 512 based on the subsequent-interference-data, thesubsequent-interference-channel 404, or a combination thereof.

It has been discovered that the initial-interference soft-estimate 510and the subsequent-interference soft-estimate 512 provide increase inefficiency and accuracy in processing the receiver signal 118, therepeat response 134, or a combination thereof. The initial-interferencesoft-estimate 510 and the subsequent-interference soft-estimate 512enable the communication system to directly use likelihood basedcalculations for the interference portion 122 according to theinterference-aware processing mechanism 334 of FIG. 3. Theinitial-interference soft-estimate 510 and the subsequent-interferencesoft-estimate 512 can capture the benefits of an interference-awarereceiver and utilize the information regarding the interference portion122 to further refine the processing of the receiver signal 118, therepeat response 134, or a combination thereof.

It has also been discovered that the initial-cancellation-product 508and the subsequent-cancellation-product 514 provide increased efficiencyand accuracy without increasing burden or cost for the communicationsystem 100. The initial-cancellation-product 508 and thesubsequent-cancellation-product 514 can increase the efficiency andaccuracy by allowing processing for the symbol-level information 111 ofFIG. 1, while saving memory space and processing burden by eliminatingunnecessary data and storing or using only the essential portions.

The whitening module 504 is configured to remove the residualinterference and the received noise, represented by ν_(i), remaining inthe initial-cancellation-product 508, thesubsequent-cancellation-product 514, or a combination thereof. Thewhitening module 504 can remove the residual interference and thereceived noise by whitening the initial-cancellation-product 508, thesubsequent-cancellation-product 514, or a combination thereof.

The whitening module 504 can generate an initial-whitening-product 516based on whitening the initial-cancellation-product 508, generate asubsequent-whitening-product 518 based on whitening thesubsequent-cancellation-product 514, or a combination thereof. Theinitial-whitening-product 516, the subsequent-whitening-product 518, ora combination thereof can be expressed as:

$\begin{matrix}{{\overset{\bigvee}{y}}_{i} = {{R_{I,i}^{- \frac{1}{2}}ý_{i}} = {{{{\overset{\bigvee}{H}}_{D}x_{D}} + {\overset{\bigvee}{n}}_{i}}..}}} & {{Equation}\mspace{14mu} (14)}\end{matrix}$

The whitening module 504 can whiten the initial-cancellation-product508, the subsequent-cancellation-product 514, or a combination thereofbased on:

R _(I,i) =H _(I,i) Q _(I,i) H _(I,i) ⁺ +I _(N) _(r) .  Equation (15).

The term R_(I,i) can represent a covariance matrix of the residualinterference with the received noise, represented by ν_(i). A diagonalmatrix Q_(I,i) can be the soft covariance matrix for the residualinterference, expressed as E[(x_(I,i)− x _(I,i))(x_(I,i)− x _(I,i))*].The nth diagonal element of Q_(I,i) can be expressed as:

Q _(I,i)(n,n)=E[|x _(I,i)(n)|² |L ^((A,2,I)) ]−| x_(I,i)(n)|².  Equation (16).

The second order expectation of |x_(I,i)(n)| can be calculated using:

$\begin{matrix}{{E\left\lbrack {{x_{I,i}(n)}}^{2} \middle| L^{({A,2,I})} \right\rbrack} = {{\sum_{s_{k} \in e}{{s_{k}}^{2}{\prod_{m = 1}^{M}{\frac{1}{2}\left( {1 + {b_{m,n}^{I}{\tanh\left( \frac{L_{m,n,i}^{({A,2,I})}}{2} \right)}}} \right)}}}}..}} & {{Equation}\mspace{14mu} (17)}\end{matrix}$

The whitening module 504 can whiten using the decoderinterference-a-posteriori value 344 as shown in Equation (17), similarto Equation (13).

The whitening module 504 can use the first communication unit 216, thesecond communication unit 236, the first control unit 212, the secondcontrol unit 234, or a combination thereof to generate theinitial-whitening-product 516, the subsequent-whitening-product 518, ora combination thereof. The whitening module 504 can store theinitial-whitening-product 516, the subsequent-whitening-product 518, ora combination thereof in the first storage unit 214, the second storageunit 246, or a combination thereof.

It has been discovered that the initial-whitening-product 516 and thesubsequent-whitening-product 518 increase accuracy in processing thereceiver signal 118, the repeat response 134, or a combination thereof.The whitening module 504 performing the whitening process to generateinitial-whitening-product 516 and the subsequent-whitening-product 518can eliminate the residual interference with the received noise leftover after the cancelling processes of the interference cancellationmodule 502.

The cancellation combination module 506 is configured to combine therepeat response 134 and the receiver signal 118. The cancellationcombination module 506 can combine the repeat response 134 and thereceiver signal 118 according to the interference-aware processingmechanism 334 for the symbol-level information 111.

The cancellation combination module 506 can combine the repeat response134 and the receiver signal 118 using the initial-whitening-product 516,the subsequent-whitening-product 518, or a combination thereof derivedfrom the initial-cancellation-product 508, thesubsequent-cancellation-product 514 or a combination thereof with thefirst communication unit 216, the second communication unit 236, thefirst control unit 212, the second control unit 234, or a combinationthereof. For example, the cancellation combination module 506 cancombine the repeat response 134 and the receiver signal 118 by combininga stored instance of the initial-whitening-product 516 with thesubsequent-cancellation-product 514.

The repeat response 134 or the repeat data 138 associated with theserving data 124 therein corresponding to the i^(th) transmission,represented as {tilde over (y)}_(i), and the serving channel estimate126 of FIG. 1, represented as {tilde over (H)}_(D,i), can be added tothe stored instances of the corresponding results for the receiversignal 118. As multiplying the Hermitian of the {tilde over (H)}_(D,i),both signals can be updated with the maximal-ratio combining (MRC)scheme.

Before receiving another transmission, the cancellation combinationmodule 506 can store the combined result as theinitial-whitening-product 516, the initial-cancellation-product 508, ora combination thereof. The interference cancellation module 502 canrepeat the process for the repeat response 134 or a newly-receivedinstance thereof to calculate the subsequent-whitening-product 518, thesubsequent-cancellation-product 514, or a combination thereof.

The cancellation combination module 506 combine the results from therepeat response 134 or a newly-received instance thereof with the storedcombine result in the initial-whitening-product 516, theinitial-cancellation-product 508, or a combination thereof. The combinedresult can be decoded with the decoding module 308 according to theinterference-aware processing mechanism 334.

The combining process for the cancellation combination module 506 can berepresented as:

$\begin{matrix}{{\overset{\bigvee}{y}}_{i + 1} = {\begin{bmatrix}{{\hat{H}}_{i}^{- \frac{1}{2}}y_{i}} \\y_{i + 1}\end{bmatrix} = {{{{\overset{\Cup}{H}}_{D,{i + 1}}x_{D}} + {{\overset{\Cup}{H}}_{I,{i + 1}}x_{I,{i + 1}}} + {\overset{\Cup}{n}}_{i + 1}}..}}} & {{Equation}\mspace{20mu} (18)}\end{matrix}$

The term ŷ_(ti) can represent the instance of theinitial-whitening-product 516, the initial-cancellation-product 508, ora combination thereof having been stored, combined, or a combination ofprocesses thereof. The term ŷ_(i) can represent a colored signal withthe covariance of Ĥ_(i) having been pre-whitened and combined withy_(i+1).

The communication system 100 has been described with module functions ororder as an example. The communication system 100 can partition themodules differently or order the modules differently.

For example, functions of the serving analysis module 314 of FIG. 3 andthe interference analysis module 316 can be combined. Also for example,the overlap module 350 of FIG. 3 can be separated from the combiningmodule 304 of FIG. 3 and performed before the bit-level module 354 ofFIG. 3, the symbol-level module 356 of FIG. 3, or a combination thereof.Similarly, the interleaving and de-interleaving functions of thecombining module 304 can be separated into one or more modules andperformed before, after, or a combination thereof relative to thedetector module 302, the decoding module 306 of FIG. 3, or a combinationthereof.

It has also been discovered that the initial-whitening-product 516 andthe subsequent-whitening-product 518 increase efficiency for thecommunication system 100. The initial-whitening-product 516 and thesubsequent-whitening-product 518 allow for the communication system 100to fully utilize repeated data and combine the signals at thesymbol-level information 111.

The modules described in this application can be hardware implementationor hardware accelerators, including passive circuitry, active circuitry,or both, in the first control unit 216 or in the second control unit238. The modules can also be hardware implementation or hardwareaccelerators, including passive circuitry, active circuitry, or both,within the first device 102 of FIG. 1 or the second device 106 of FIG. 1but outside of the first control unit 216 or the second control unit238, respectively.

The physical transformation from the receiver signal 118 and the repeatrequest 132 through changes in the initial extrinsic value 330 of FIG.3, the subsequent extrinsic value 332 of FIG. 3, theinitial-interference-channel 402, the initial-interference-data 406, thesubsequent-interference-channel 404, the subsequent-interference-data408, the initial-interference soft-estimate 510, theinitial-cancellation-product 508, the initial-whitening-product 516, thesubsequent-interference soft-estimate 512, thesubsequent-cancellation-product 514, the subsequent-whitening-product518, or a combination thereof results in the movement in the physicalworld, such as content displayed or recreated for the user on the mobiledevice 102. The content, such as navigation information or voice signalof a caller, recreated on the first device 102 can influence the user'smovement, such as following the navigation information or replying backto the caller. Movement in the physical world results in changes to thetransmitter channel 110 of FIG. 1, the interference channel 116 of FIG.1, and the interference signal 114 of FIG. 1, which can be fed back intothe communication system 100 to process the receiver signal 118 and therepeat request 132.

Referring now to FIG. 6, therein is shown a flow chart of a method 602of operation of a communication system 100 in an embodiment of thepresent invention. The method 602 includes: receiving a repeat responsefor receiving the repeat response associated with a receiver signal in ablock 604; determining a serving data, a serving channel estimate, aninterference channel estimate, or a combination thereof an interferencedata from the repeat response with an interference-aware processingmechanism in a block 606; combining the repeat response and the receiversignal based on the serving data, the serving channel estimate, theinterference channel estimate, the interference data, or a combinationthereof in a block 608; and generating a replication data based oncombining the repeat response and the receiver signal based on theserving data, the serving channel estimate, the interference channelestimate, the interference data, or a combination thereof forcommunicating with a device in a block 610.

It has been discovered that the concatenation signal set 412 of FIG. 4including the serving data 124 of FIG. 1, the serving channel estimate126 of FIG. 1, the interference data 128 of FIG. 1, and the interferencechannel estimate 130 of FIG. 1, the initial-whitening-product 516 ofFIG. 5, and the subsequent-whitening-product 518 of FIG. 5 increaseefficiency by allowing for signals to be combined at the symbol-levelinformation 111 of FIG. 1. Further, it has been discovered that theconcatenation signal set 412 including the serving data 124, the servingchannel estimate 126, the interference data 128, and the interferencechannel estimate 130, the initial-whitening-product 516, and thesubsequent-whitening-product 518 for all relevant transmissionsprocessed with the interference-aware processing mechanism 334 of FIG. 3provides accurate and speedy reproduction of the replication data 348 ofFIG. 3.

The resulting method, process, apparatus, device, product, and/or systemis straightforward, cost-effective, uncomplicated, highly versatile,accurate, sensitive, and effective, and can be implemented by adaptingknown components for ready, efficient, and economical manufacturing,application, and utilization. Another important aspect of an embodimentof the present invention is that it valuably supports and services thehistorical trend of reducing costs, simplifying systems, and increasingperformance.

These and other valuable aspects of an embodiment of the presentinvention consequently further the state of the technology to at leastthe next level.

While the invention has been described in conjunction with a specificbest mode, it is to be understood that many alternatives, modifications,and variations will be apparent to those skilled in the art in light ofthe aforegoing description. Accordingly, it is intended to embrace allsuch alternatives, modifications, and variations that fall within thescope of the included claims. All matters set forth herein or shown inthe accompanying drawings are to be interpreted in an illustrative andnon-limiting sense.

What is claimed is:
 1. A communication system comprising: a signalidentification module configured to receive a repeat response associatedwith a receiver signal; a signal analysis module, coupled to the signalidentification module, configured to determine a serving data, a servingchannel estimate, an interference data, an interference channelestimate, or a combination thereof from the repeat response with aninterference-aware processing mechanism; a combining module, coupled tothe signal analysis module, configured to combine the repeat responseand the receiver signal based on the serving data, the serving channelestimate, the interference channel estimate, the interference data, or acombination thereof; and a decoding module, coupled to the combiningmodule, configured to generate a replication data based on combining therepeat response and the receiver signal based on the serving data, theserving channel estimate, the interference channel estimate, theinterference data, or a combination thereof for communicating with adevice.
 2. The system as claimed in claim 1 wherein: the signalidentification module is configured to receive the receiver signalpreceding the repeat response; the signal analysis module includes aninterference analysis module configured to determine aninitial-interference-channel associated with the receiver signal; andthe combining module includes a stacking module configured to combinethe repeat response and the receiver signal using theinitial-interference-channel.
 3. The system as claimed in claim 1wherein: the signal identification module is configured to receive thereceiver signal preceding the repeat response; the decoding module isconfigured to determine an initial-interference-data associated with thereceiver signal; and the combining module includes a stacking moduleconfigured to combine the repeat response and the receiver signal basedon the initial-interference-data.
 4. The system as claimed in claim 1wherein: the signal identification module is configured to receive thereceiver signal preceding the repeat response; the decoding module isconfigured to determine an initial-interference-data for the receiversignal; the combining module includes: an interference cancellationmodule configured to calculate an initial-cancellation-product from thereceiver signal based on the initial-interference-data, a cancellationcombination module configured to combine the repeat response and thereceiver signal based on the initial-cancellation-product.
 5. The systemas claimed in claim 1 wherein: the signal identification module isconfigured to receive the receiver signal preceding the repeat response;the signal analysis module includes a serving analysis module configuredto calculate an initial extrinsic value based on the receiver signal;and the combining module includes a bit-level module configured tocombine the repeat response and the receiver signal using the initialextrinsic value for a bit-level information.
 6. The system as claimed inclaim 1 wherein: the signal identification module is configured toreceive the receiver signal preceding the repeat response; the signalanalysis module includes an interference analysis module configured todetermine an initial-interference-channel from the receiver signal; andthe decoding module is configured to decode the receiver signal, therepeat response, a portion therein, or a combination thereof bydetermining an initial-interference-data using the interference-awareprocessing mechanism.
 7. The system as claimed in claim 6 wherein: theinterference analysis module is configured to determine asubsequent-interference-channel associated with the repeat response; thedecoding module is configured to determine asubsequent-interference-data associated with the repeat response; andthe combining module includes a stacking module configured to combinethe repeat response and the receiver signal using a combination of theinitial-interference-channel, the subsequent-interference-channel, theinitial-interference data, and the subsequent-interference-data for asymbol-level information.
 8. The system as claimed in claim 6 wherein:the decoding module is configured to determine asubsequent-interference-data for the repeat response; and the combiningmodule includes an interference cancellation module configured to:calculate an initial-cancellation-product from the receiver signal basedon an initial-interference soft-estimate associated with theinitial-interference-data, calculate a subsequent-cancellation-productfrom the repeat response based on a subsequent-interferencesoft-estimate associated with the subsequent-interference-data; thecombining module includes a cancellation combination module configuredto combine the receiver signal, the repeat response, or a combinationthereof using the initial-cancellation-product and thesubsequent-cancellation-product according to the interference-awareprocessing mechanism for a symbol-level information.
 9. The system asclaimed in claim 6 wherein: the interference analysis module isconfigured to determine a subsequent-interference-channel for the repeatresponse; the decoding module is configured to determine asubsequent-interference-data for the repeat response; and the combiningmodule includes a whitening module configured to: generate aninitial-whitening-product based on whitening aninitial-cancellation-product associated with the receiver signal, theinitial-interference-data, and the initial-interference-channel,generate a subsequent-whitening-product based on whitening asubsequent-cancellation-product associated with the repeat response, thesubsequent-interference-data, and the subsequent-interference-channel;the combining module includes a cancellation combination moduleconfigured to combine the receiver signal, the repeat response, or acombination thereof using the initial-whitening-product and thesubsequent-whitening-product according to the interference-awareprocessing mechanism for a symbol-level information.
 10. The system asclaimed in claim 6 further comprising: an overlap module, coupled to thesignal analysis module, configured to identify an overlap region betweenthe receiver signal and the repeat response; and a control module,coupled to the overlap module, configured to combine the repeat responseand the receiver signal for a symbol-level information in the overlapregion.
 11. A method of operation of a communication system comprising:receiving a repeat response for receiving the repeat response associatedwith a receiver signal; determining a serving data, a serving channelestimate, an interference data, an interference channel estimate, or acombination thereof from the repeat response with an interference-awareprocessing mechanism; combining the repeat response and the receiversignal based on the serving data, the serving channel estimate, theinterference channel estimate, the interference data, or a combinationthereof; and generating a replication data based on combining the repeatresponse and the receiver signal based on the serving data, the servingchannel estimate, the interference channel estimate, the interferencedata, or a combination thereof with a control unit for communicatingwith a device.
 12. The method as claimed in claim 11 further comprising:receiving the receiver signal preceding the repeat response; determiningan initial-interference-channel for representing the interferencechannel estimate associated with the receiver signal; and whereincombining the repeat response and the receiver signal includes:combining the repeat response and the receiver signal using theinitial-interference-channel.
 13. The method as claimed in claim 11further comprising: receiving the receiver signal preceding the repeatresponse; determining an initial-interference-data associated with thereceiver signal; and wherein combining the repeat response and thereceiver signal includes: combining the repeat response and the receiversignal based on the initial-interference-data.
 14. The method as claimedin claim 11 wherein: receiving the receiver signal preceding the repeatresponse; determining an initial-interference-data for the receiversignal; calculating an initial-cancellation-product from the receiversignal based on the initial-interference-data; wherein combining therepeat response and the receiver signal includes: combining the repeatresponse and the receiver signal based on theinitial-cancellation-product.
 15. The method as claimed in claim 11further comprising: receiving the receiver signal preceding the repeatresponse; calculating an initial extrinsic value based on the receiversignal; wherein combining the repeat response and the receiver signalincludes: combining the repeat response and the receiver signal usingthe initial extrinsic value for a bit-level information.
 16. The methodas claimed in claim 11 further comprising: receiving the receiver signalpreceding the repeat response; determining aninitial-interference-channel and an initial-interference-data from thereceiver signal using the interference-aware processing mechanism; andwherein generating the replication data includes: decoding the receiversignal, the repeat response, a portion therein, or a combination thereofwith the initial-interference-data and the initial-interference-channelusing the interference-aware processing mechanism.
 17. The method asclaimed in claim 16 wherein combining the repeat response and thereceiver signal includes: determining a subsequent-interference-data anda subsequent-interference-channel associated with the repeat response;combining the repeat response and the receiver signal using acombination of the initial-interference-channel, thesubsequent-interference-channel, the initial-interference data, and thesubsequent-interference-data for a symbol-level information.
 18. Themethod as claimed in claim 16 further comprising: calculating aninitial-cancellation-product from the receiver signal based on aninitial-interference soft-estimate associated with theinitial-interference-data; wherein generating the replication dataincludes: determining a subsequent-interference-data for the repeatresponse; calculating a subsequent-cancellation-product from the repeatresponse based on a subsequent-interference soft-estimate associatedwith the subsequent-interference-data; and decoding the receiver signal,the repeat response, or a combination thereof using theinitial-cancellation-product and the subsequent-cancellation-productaccording to the interference-aware processing mechanism for asymbol-level information.
 19. The method as claimed in claim 16 furthercomprising: generating an initial-whitening-product based on whiteningan initial-cancellation-product associated with the receiver signal, theinitial-interference-data, and the initial-interference-channel; whereingenerating the replication data includes: determining asubsequent-interference-data and a subsequent-interference-channel forthe repeat response; generating a subsequent-whitening-product based onwhitening a subsequent-cancellation-product associated with the repeatresponse, the subsequent-interference-data, and thesubsequent-interference-channel; and decoding the receiver signal, therepeat response, or a combination thereof using theinitial-whitening-product and the subsequent-whitening-product accordingto the interference-aware processing mechanism for a symbol-levelinformation.
 20. The method as claimed in claim 16 further comprising:identifying an overlap region between the receiver signal and the repeatresponse; and wherein combining the repeat response and the receiversignal includes: combining the repeat response and the receiver signalfor a symbol-level information in the overlap region.